DL_L05.ipynb

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      "name": "DL_L05.ipynb",
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      "name": "python3",
      "display_name": "Python 3"
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    "accelerator": "GPU"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MfqDGcc_PMF7",
        "colab_type": "text"
      },
      "source": [
        "#Tópicos Avanzados de Computación II\n",
        "##Dr. Carlos Villaseñor\n",
        "### Lección 5 -  Entrenando Redes Neuronales Profundas parte I\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FeA-AZylPh6B",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n-EocUuMQFGt",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 55
        },
        "outputId": "cab76f4c-ae68-4f8a-c295-798335498d17"
      },
      "source": [
        "dataset_path = keras.utils.get_file('auto-mpg.data', 'http://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from http://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data\n",
            "32768/30286 [================================] - 0s 5us/step\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tf_qoZDHQi7c",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "outputId": "a3786621-57cc-4b78-edf0-a0e4bdc29229"
      },
      "source": [
        "column_names = ['MPG','Cylinders','Displacement','Horsepower','Weight',\n",
        "                'Acceleration', 'Model Year', 'Origin']\n",
        "raw_dataset = pd.read_csv(dataset_path, names=column_names,\n",
        "                      na_values = \"?\", comment='\\t',\n",
        "                      sep=\" \", skipinitialspace=True)\n",
        "\n",
        "dataset = raw_dataset.copy()\n",
        "print(dataset)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "      MPG  Cylinders  Displacement  ...  Acceleration  Model Year  Origin\n",
            "0    18.0          8         307.0  ...          12.0          70       1\n",
            "1    15.0          8         350.0  ...          11.5          70       1\n",
            "2    18.0          8         318.0  ...          11.0          70       1\n",
            "3    16.0          8         304.0  ...          12.0          70       1\n",
            "4    17.0          8         302.0  ...          10.5          70       1\n",
            "..    ...        ...           ...  ...           ...         ...     ...\n",
            "393  27.0          4         140.0  ...          15.6          82       1\n",
            "394  44.0          4          97.0  ...          24.6          82       2\n",
            "395  32.0          4         135.0  ...          11.6          82       1\n",
            "396  28.0          4         120.0  ...          18.6          82       1\n",
            "397  31.0          4         119.0  ...          19.4          82       1\n",
            "\n",
            "[398 rows x 8 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "CiX2FI4gZtTt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 186
        },
        "outputId": "9a3a363f-d0d6-40a9-b179-6660f30ad580"
      },
      "source": [
        "dataset.isna().sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MPG             0\n",
              "Cylinders       0\n",
              "Displacement    0\n",
              "Horsepower      6\n",
              "Weight          0\n",
              "Acceleration    0\n",
              "Model Year      0\n",
              "Origin          0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BCk5LeOJTHy4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "dataset = dataset.dropna()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q3f9ZiROTPZ8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "8d6eb86c-0bfd-4dea-bc3c-b52d0e8f0c01"
      },
      "source": [
        "origin = dataset.pop('Origin')\n",
        "dataset['USA'] = (origin == 1)*1.0\n",
        "dataset['Europe'] = (origin == 2)*1.0\n",
        "dataset['Japan'] = (origin == 3)*1.0\n",
        "dataset.tail()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>MPG</th>\n",
              "      <th>Cylinders</th>\n",
              "      <th>Displacement</th>\n",
              "      <th>Horsepower</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Acceleration</th>\n",
              "      <th>Model Year</th>\n",
              "      <th>USA</th>\n",
              "      <th>Europe</th>\n",
              "      <th>Japan</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>393</th>\n",
              "      <td>27.0</td>\n",
              "      <td>4</td>\n",
              "      <td>140.0</td>\n",
              "      <td>86.0</td>\n",
              "      <td>2790.0</td>\n",
              "      <td>15.6</td>\n",
              "      <td>82</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>394</th>\n",
              "      <td>44.0</td>\n",
              "      <td>4</td>\n",
              "      <td>97.0</td>\n",
              "      <td>52.0</td>\n",
              "      <td>2130.0</td>\n",
              "      <td>24.6</td>\n",
              "      <td>82</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>395</th>\n",
              "      <td>32.0</td>\n",
              "      <td>4</td>\n",
              "      <td>135.0</td>\n",
              "      <td>84.0</td>\n",
              "      <td>2295.0</td>\n",
              "      <td>11.6</td>\n",
              "      <td>82</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>396</th>\n",
              "      <td>28.0</td>\n",
              "      <td>4</td>\n",
              "      <td>120.0</td>\n",
              "      <td>79.0</td>\n",
              "      <td>2625.0</td>\n",
              "      <td>18.6</td>\n",
              "      <td>82</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>397</th>\n",
              "      <td>31.0</td>\n",
              "      <td>4</td>\n",
              "      <td>119.0</td>\n",
              "      <td>82.0</td>\n",
              "      <td>2720.0</td>\n",
              "      <td>19.4</td>\n",
              "      <td>82</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "  </tbody>\n",
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            ],
            "text/plain": [
              "      MPG  Cylinders  Displacement  Horsepower  ...  Model Year  USA  Europe  Japan\n",
              "393  27.0          4         140.0        86.0  ...          82  1.0     0.0    0.0\n",
              "394  44.0          4          97.0        52.0  ...          82  0.0     1.0    0.0\n",
              "395  32.0          4         135.0        84.0  ...          82  1.0     0.0    0.0\n",
              "396  28.0          4         120.0        79.0  ...          82  1.0     0.0    0.0\n",
              "397  31.0          4         119.0        82.0  ...          82  1.0     0.0    0.0\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XgoYR82VTeox",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 55
        },
        "outputId": "e372822c-93c4-4ed4-ee6b-a76c3e650953"
      },
      "source": [
        "x = np.asanyarray(dataset.drop(columns=['MPG']))\n",
        "y = np.asanyarray(dataset[['MPG']])\n",
        "x = StandardScaler().fit_transform(x)\n",
        "print(x.shape)\n",
        "print(y.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(392, 9)\n",
            "(392, 1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I45OAV4_UYWm",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "xtrain, xtest, ytrain, ytest = train_test_split(x,y,test_size=0.2,\n",
        "                                                random_state=0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dpreD8b5UkqQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def build_model():\n",
        "\n",
        "  model = keras.Sequential()\n",
        "  model.add(keras.layers.Dense(128, kernel_initializer='glorot_uniform', \n",
        "                               activation='relu', input_shape=[x.shape[1]]))\n",
        "  model.add(keras.layers.Dropout(0.2))\n",
        "  model.add(keras.layers.Dense(32, activation='tanh'))\n",
        "  model.add(keras.layers.Dense(1, activation='linear'))\n",
        "\n",
        "  model.compile(loss='mean_squared_error',\n",
        "                optimizer=keras.optimizers.Adam())\n",
        "  return  model\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hx95T0XGZO47",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "outputId": "5b0fef4f-6b45-4927-a87d-ab991a3e8749"
      },
      "source": [
        "model = build_model()\n",
        "model.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense (Dense)                (None, 128)               1280      \n",
            "_________________________________________________________________\n",
            "dropout (Dropout)            (None, 128)               0         \n",
            "_________________________________________________________________\n",
            "dense_1 (Dense)              (None, 32)                4128      \n",
            "_________________________________________________________________\n",
            "dense_2 (Dense)              (None, 1)                 33        \n",
            "=================================================================\n",
            "Total params: 5,441\n",
            "Trainable params: 5,441\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ngXppdN0ZgWb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "d6b582a7-cd80-4bc5-c03e-8c71778ba821"
      },
      "source": [
        "history = model.fit(xtrain, ytrain,\n",
        "                    batch_size=150, epochs=3000, \n",
        "                    validation_split=0.2, verbose=1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mSe truncaron las últimas líneas 5000 del resultado de transmisión.\u001b[0m\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 22.0077 - val_loss: 27.7191\n",
            "Epoch 502/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 21.2348 - val_loss: 27.6290\n",
            "Epoch 503/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 21.3415 - val_loss: 27.5361\n",
            "Epoch 504/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 20.9740 - val_loss: 27.4428\n",
            "Epoch 505/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 21.4466 - val_loss: 27.3511\n",
            "Epoch 506/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 21.0028 - val_loss: 27.2611\n",
            "Epoch 507/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 20.1527 - val_loss: 27.1749\n",
            "Epoch 508/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 21.6758 - val_loss: 27.0939\n",
            "Epoch 509/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 21.0890 - val_loss: 27.0123\n",
            "Epoch 510/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 20.4844 - val_loss: 26.9288\n",
            "Epoch 511/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 20.3305 - val_loss: 26.8438\n",
            "Epoch 512/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 21.5168 - val_loss: 26.7576\n",
            "Epoch 513/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 21.3641 - val_loss: 26.6723\n",
            "Epoch 514/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 20.9068 - val_loss: 26.5890\n",
            "Epoch 515/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 20.6189 - val_loss: 26.5089\n",
            "Epoch 516/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 20.8833 - val_loss: 26.4262\n",
            "Epoch 517/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 20.4206 - val_loss: 26.3456\n",
            "Epoch 518/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 19.8471 - val_loss: 26.2675\n",
            "Epoch 519/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 20.5920 - val_loss: 26.1896\n",
            "Epoch 520/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 21.1386 - val_loss: 26.1140\n",
            "Epoch 521/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 21.7854 - val_loss: 26.0379\n",
            "Epoch 522/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.8492 - val_loss: 25.9629\n",
            "Epoch 523/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 20.6631 - val_loss: 25.8879\n",
            "Epoch 524/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 19.6517 - val_loss: 25.8108\n",
            "Epoch 525/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 20.7352 - val_loss: 25.7357\n",
            "Epoch 526/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.9595 - val_loss: 25.6641\n",
            "Epoch 527/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 20.6910 - val_loss: 25.5963\n",
            "Epoch 528/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 20.2161 - val_loss: 25.5266\n",
            "Epoch 529/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 19.9864 - val_loss: 25.4550\n",
            "Epoch 530/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 19.8644 - val_loss: 25.3844\n",
            "Epoch 531/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 18.7726 - val_loss: 25.3112\n",
            "Epoch 532/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.9986 - val_loss: 25.2432\n",
            "Epoch 533/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.2693 - val_loss: 25.1779\n",
            "Epoch 534/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 20.0948 - val_loss: 25.1118\n",
            "Epoch 535/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 19.3943 - val_loss: 25.0482\n",
            "Epoch 536/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 20.1078 - val_loss: 24.9821\n",
            "Epoch 537/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.9838 - val_loss: 24.9178\n",
            "Epoch 538/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 19.6237 - val_loss: 24.8534\n",
            "Epoch 539/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.8767 - val_loss: 24.7858\n",
            "Epoch 540/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 19.1711 - val_loss: 24.7183\n",
            "Epoch 541/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.0993 - val_loss: 24.6434\n",
            "Epoch 542/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.5984 - val_loss: 24.5714\n",
            "Epoch 543/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.4753 - val_loss: 24.4974\n",
            "Epoch 544/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 19.5173 - val_loss: 24.4209\n",
            "Epoch 545/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.5933 - val_loss: 24.3442\n",
            "Epoch 546/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 18.8217 - val_loss: 24.2708\n",
            "Epoch 547/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.0933 - val_loss: 24.1999\n",
            "Epoch 548/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.8866 - val_loss: 24.1340\n",
            "Epoch 549/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.4095 - val_loss: 24.0691\n",
            "Epoch 550/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.5322 - val_loss: 24.0041\n",
            "Epoch 551/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.7583 - val_loss: 23.9425\n",
            "Epoch 552/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 18.6239 - val_loss: 23.8820\n",
            "Epoch 553/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 19.2138 - val_loss: 23.8171\n",
            "Epoch 554/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 18.9821 - val_loss: 23.7502\n",
            "Epoch 555/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.3252 - val_loss: 23.6815\n",
            "Epoch 556/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 18.5819 - val_loss: 23.6108\n",
            "Epoch 557/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 20.3408 - val_loss: 23.5428\n",
            "Epoch 558/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 18.3069 - val_loss: 23.4749\n",
            "Epoch 559/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.7925 - val_loss: 23.4093\n",
            "Epoch 560/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 18.6616 - val_loss: 23.3449\n",
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            "2/2 [==============================] - 0s 17ms/step - loss: 18.1168 - val_loss: 23.2822\n",
            "Epoch 562/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 18.4941 - val_loss: 23.2223\n",
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            "2/2 [==============================] - 0s 18ms/step - loss: 18.9090 - val_loss: 23.1624\n",
            "Epoch 564/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 18.3866 - val_loss: 23.0983\n",
            "Epoch 565/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 18.2490 - val_loss: 23.0386\n",
            "Epoch 566/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.0116 - val_loss: 22.9828\n",
            "Epoch 567/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 18.5875 - val_loss: 22.9325\n",
            "Epoch 568/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 18.7999 - val_loss: 22.8887\n",
            "Epoch 569/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 18.7994 - val_loss: 22.8399\n",
            "Epoch 570/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.8752 - val_loss: 22.7865\n",
            "Epoch 571/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.6194 - val_loss: 22.7280\n",
            "Epoch 572/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 17.1989 - val_loss: 22.6636\n",
            "Epoch 573/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 17.5653 - val_loss: 22.6019\n",
            "Epoch 574/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 17.5890 - val_loss: 22.5370\n",
            "Epoch 575/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.2767 - val_loss: 22.4738\n",
            "Epoch 576/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.0627 - val_loss: 22.4161\n",
            "Epoch 577/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 18.6062 - val_loss: 22.3616\n",
            "Epoch 578/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 17.7332 - val_loss: 22.3093\n",
            "Epoch 579/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.6810 - val_loss: 22.2608\n",
            "Epoch 580/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.1257 - val_loss: 22.2146\n",
            "Epoch 581/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 17.8222 - val_loss: 22.1711\n",
            "Epoch 582/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 16.9585 - val_loss: 22.1277\n",
            "Epoch 583/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 17.1444 - val_loss: 22.0836\n",
            "Epoch 584/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.3337 - val_loss: 22.0403\n",
            "Epoch 585/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.4200 - val_loss: 21.9904\n",
            "Epoch 586/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.5878 - val_loss: 21.9405\n",
            "Epoch 587/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 16.5100 - val_loss: 21.8946\n",
            "Epoch 588/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 17.0722 - val_loss: 21.8451\n",
            "Epoch 589/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 17.5640 - val_loss: 21.7941\n",
            "Epoch 590/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.4285 - val_loss: 21.7386\n",
            "Epoch 591/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.4123 - val_loss: 21.6842\n",
            "Epoch 592/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 17.9979 - val_loss: 21.6286\n",
            "Epoch 593/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 16.4465 - val_loss: 21.5700\n",
            "Epoch 594/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.4123 - val_loss: 21.5145\n",
            "Epoch 595/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.5740 - val_loss: 21.4607\n",
            "Epoch 596/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.3401 - val_loss: 21.4080\n",
            "Epoch 597/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 17.2689 - val_loss: 21.3607\n",
            "Epoch 598/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.0016 - val_loss: 21.3207\n",
            "Epoch 599/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 16.8706 - val_loss: 21.2871\n",
            "Epoch 600/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 16.8663 - val_loss: 21.2488\n",
            "Epoch 601/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.8739 - val_loss: 21.2062\n",
            "Epoch 602/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 16.4233 - val_loss: 21.1563\n",
            "Epoch 603/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.7048 - val_loss: 21.1059\n",
            "Epoch 604/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 16.7799 - val_loss: 21.0612\n",
            "Epoch 605/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 16.9030 - val_loss: 21.0139\n",
            "Epoch 606/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 16.0120 - val_loss: 20.9701\n",
            "Epoch 607/3000\n",
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            "Epoch 608/3000\n",
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            "Epoch 609/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 16.3235 - val_loss: 20.8423\n",
            "Epoch 610/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 16.2357 - val_loss: 20.8016\n",
            "Epoch 611/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 16.5561 - val_loss: 20.7661\n",
            "Epoch 612/3000\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 16.1758 - val_loss: 20.7295\n",
            "Epoch 613/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 16.9342 - val_loss: 20.6912\n",
            "Epoch 614/3000\n",
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            "Epoch 615/3000\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 16.0959 - val_loss: 20.6126\n",
            "Epoch 616/3000\n",
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            "Epoch 617/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 16.1437 - val_loss: 20.5280\n",
            "Epoch 618/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 16.8695 - val_loss: 20.4874\n",
            "Epoch 619/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 16.8717 - val_loss: 20.4401\n",
            "Epoch 620/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 17.0977 - val_loss: 20.3918\n",
            "Epoch 621/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 16.3726 - val_loss: 20.3456\n",
            "Epoch 622/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 15.4369 - val_loss: 20.2999\n",
            "Epoch 623/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 16.4261 - val_loss: 20.2568\n",
            "Epoch 624/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.7307 - val_loss: 20.2220\n",
            "Epoch 625/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 16.7635 - val_loss: 20.1849\n",
            "Epoch 626/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 16.4132 - val_loss: 20.1453\n",
            "Epoch 627/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 16.4917 - val_loss: 20.1075\n",
            "Epoch 628/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.8329 - val_loss: 20.0663\n",
            "Epoch 629/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 16.3439 - val_loss: 20.0221\n",
            "Epoch 630/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 16.5152 - val_loss: 19.9793\n",
            "Epoch 631/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 15.8693 - val_loss: 19.9415\n",
            "Epoch 632/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 16.4016 - val_loss: 19.8998\n",
            "Epoch 633/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 16.5405 - val_loss: 19.8604\n",
            "Epoch 634/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 16.2857 - val_loss: 19.8219\n",
            "Epoch 635/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 16.3385 - val_loss: 19.7870\n",
            "Epoch 636/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 16.2560 - val_loss: 19.7549\n",
            "Epoch 637/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 16.7188 - val_loss: 19.7263\n",
            "Epoch 638/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 15.9613 - val_loss: 19.7016\n",
            "Epoch 639/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 16.0817 - val_loss: 19.6741\n",
            "Epoch 640/3000\n",
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            "Epoch 641/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 16.6979 - val_loss: 19.6114\n",
            "Epoch 642/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.1317 - val_loss: 19.5833\n",
            "Epoch 643/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 16.2206 - val_loss: 19.5507\n",
            "Epoch 644/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.5188 - val_loss: 19.5157\n",
            "Epoch 645/3000\n",
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            "Epoch 646/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.1522 - val_loss: 19.4353\n",
            "Epoch 647/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 16.3279 - val_loss: 19.3961\n",
            "Epoch 648/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 15.8364 - val_loss: 19.3600\n",
            "Epoch 649/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.5944 - val_loss: 19.3218\n",
            "Epoch 650/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.8976 - val_loss: 19.2811\n",
            "Epoch 651/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 15.1642 - val_loss: 19.2426\n",
            "Epoch 652/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.7660 - val_loss: 19.2104\n",
            "Epoch 653/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.9607 - val_loss: 19.1814\n",
            "Epoch 654/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 16.3669 - val_loss: 19.1543\n",
            "Epoch 655/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.6418 - val_loss: 19.1299\n",
            "Epoch 656/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.9836 - val_loss: 19.1119\n",
            "Epoch 657/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.4579 - val_loss: 19.0957\n",
            "Epoch 658/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.9871 - val_loss: 19.0676\n",
            "Epoch 659/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 15.2933 - val_loss: 19.0368\n",
            "Epoch 660/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 15.8340 - val_loss: 19.0087\n",
            "Epoch 661/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.4974 - val_loss: 18.9809\n",
            "Epoch 662/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.1788 - val_loss: 18.9495\n",
            "Epoch 663/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.1167 - val_loss: 18.9155\n",
            "Epoch 664/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.1407 - val_loss: 18.8781\n",
            "Epoch 665/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.8703 - val_loss: 18.8410\n",
            "Epoch 666/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.8400 - val_loss: 18.8042\n",
            "Epoch 667/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.3213 - val_loss: 18.7678\n",
            "Epoch 668/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.6375 - val_loss: 18.7370\n",
            "Epoch 669/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.9929 - val_loss: 18.7134\n",
            "Epoch 670/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 14.8636 - val_loss: 18.6957\n",
            "Epoch 671/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.1921 - val_loss: 18.6718\n",
            "Epoch 672/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.8982 - val_loss: 18.6466\n",
            "Epoch 673/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.4671 - val_loss: 18.6151\n",
            "Epoch 674/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.3736 - val_loss: 18.5876\n",
            "Epoch 675/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.9700 - val_loss: 18.5591\n",
            "Epoch 676/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.4806 - val_loss: 18.5234\n",
            "Epoch 677/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.2002 - val_loss: 18.4924\n",
            "Epoch 678/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.4665 - val_loss: 18.4639\n",
            "Epoch 679/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.8501 - val_loss: 18.4403\n",
            "Epoch 680/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.3501 - val_loss: 18.4154\n",
            "Epoch 681/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.1239 - val_loss: 18.3886\n",
            "Epoch 682/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.9854 - val_loss: 18.3643\n",
            "Epoch 683/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.4737 - val_loss: 18.3479\n",
            "Epoch 684/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.3451 - val_loss: 18.3356\n",
            "Epoch 685/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.2115 - val_loss: 18.3196\n",
            "Epoch 686/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.8619 - val_loss: 18.2933\n",
            "Epoch 687/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.4706 - val_loss: 18.2625\n",
            "Epoch 688/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.1581 - val_loss: 18.2257\n",
            "Epoch 689/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.2063 - val_loss: 18.1851\n",
            "Epoch 690/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.4806 - val_loss: 18.1521\n",
            "Epoch 691/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.7928 - val_loss: 18.1246\n",
            "Epoch 692/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.8092 - val_loss: 18.0937\n",
            "Epoch 693/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.5290 - val_loss: 18.0634\n",
            "Epoch 694/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.5790 - val_loss: 18.0397\n",
            "Epoch 695/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 15.2090 - val_loss: 18.0228\n",
            "Epoch 696/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.3150 - val_loss: 18.0088\n",
            "Epoch 697/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.9256 - val_loss: 18.0001\n",
            "Epoch 698/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.8870 - val_loss: 17.9790\n",
            "Epoch 699/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 15.1421 - val_loss: 17.9490\n",
            "Epoch 700/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.3034 - val_loss: 17.9176\n",
            "Epoch 701/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.3175 - val_loss: 17.8834\n",
            "Epoch 702/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.1480 - val_loss: 17.8478\n",
            "Epoch 703/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.9015 - val_loss: 17.8159\n",
            "Epoch 704/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.0960 - val_loss: 17.7864\n",
            "Epoch 705/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.9594 - val_loss: 17.7615\n",
            "Epoch 706/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.3473 - val_loss: 17.7437\n",
            "Epoch 707/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.0885 - val_loss: 17.7311\n",
            "Epoch 708/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 14.7522 - val_loss: 17.7222\n",
            "Epoch 709/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.8537 - val_loss: 17.7141\n",
            "Epoch 710/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 13.5627 - val_loss: 17.6937\n",
            "Epoch 711/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.3488 - val_loss: 17.6708\n",
            "Epoch 712/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.3068 - val_loss: 17.6523\n",
            "Epoch 713/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.4810 - val_loss: 17.6272\n",
            "Epoch 714/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.6687 - val_loss: 17.6025\n",
            "Epoch 715/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.3302 - val_loss: 17.5806\n",
            "Epoch 716/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.7766 - val_loss: 17.5612\n",
            "Epoch 717/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.1409 - val_loss: 17.5452\n",
            "Epoch 718/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 15.5907 - val_loss: 17.5248\n",
            "Epoch 719/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.9162 - val_loss: 17.5074\n",
            "Epoch 720/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.4930 - val_loss: 17.4901\n",
            "Epoch 721/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.7394 - val_loss: 17.4617\n",
            "Epoch 722/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.8533 - val_loss: 17.4359\n",
            "Epoch 723/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.5121 - val_loss: 17.4142\n",
            "Epoch 724/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.1882 - val_loss: 17.3929\n",
            "Epoch 725/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 13.9495 - val_loss: 17.3708\n",
            "Epoch 726/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.5677 - val_loss: 17.3540\n",
            "Epoch 727/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.0260 - val_loss: 17.3431\n",
            "Epoch 728/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 14.2088 - val_loss: 17.3262\n",
            "Epoch 729/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.5809 - val_loss: 17.3053\n",
            "Epoch 730/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.9310 - val_loss: 17.2895\n",
            "Epoch 731/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.7473 - val_loss: 17.2675\n",
            "Epoch 732/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.5103 - val_loss: 17.2422\n",
            "Epoch 733/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.4023 - val_loss: 17.2173\n",
            "Epoch 734/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.3120 - val_loss: 17.1917\n",
            "Epoch 735/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.6082 - val_loss: 17.1708\n",
            "Epoch 736/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.5107 - val_loss: 17.1565\n",
            "Epoch 737/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.2833 - val_loss: 17.1428\n",
            "Epoch 738/3000\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 13.4297 - val_loss: 17.1262\n",
            "Epoch 739/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.8490 - val_loss: 17.1160\n",
            "Epoch 740/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.5024 - val_loss: 17.1013\n",
            "Epoch 741/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.4287 - val_loss: 17.0730\n",
            "Epoch 742/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.6686 - val_loss: 17.0473\n",
            "Epoch 743/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.4291 - val_loss: 17.0178\n",
            "Epoch 744/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.6690 - val_loss: 16.9960\n",
            "Epoch 745/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.0457 - val_loss: 16.9793\n",
            "Epoch 746/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.1787 - val_loss: 16.9626\n",
            "Epoch 747/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 13.7881 - val_loss: 16.9503\n",
            "Epoch 748/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.0686 - val_loss: 16.9348\n",
            "Epoch 749/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.4265 - val_loss: 16.9190\n",
            "Epoch 750/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.1234 - val_loss: 16.9007\n",
            "Epoch 751/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.7139 - val_loss: 16.8863\n",
            "Epoch 752/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.7087 - val_loss: 16.8675\n",
            "Epoch 753/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.7642 - val_loss: 16.8475\n",
            "Epoch 754/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.1195 - val_loss: 16.8336\n",
            "Epoch 755/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.8089 - val_loss: 16.8152\n",
            "Epoch 756/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.8859 - val_loss: 16.7950\n",
            "Epoch 757/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 13.9763 - val_loss: 16.7763\n",
            "Epoch 758/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.3094 - val_loss: 16.7563\n",
            "Epoch 759/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.7156 - val_loss: 16.7358\n",
            "Epoch 760/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.2838 - val_loss: 16.7190\n",
            "Epoch 761/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 12.9040 - val_loss: 16.6970\n",
            "Epoch 762/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.7346 - val_loss: 16.6813\n",
            "Epoch 763/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.9037 - val_loss: 16.6624\n",
            "Epoch 764/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.4970 - val_loss: 16.6376\n",
            "Epoch 765/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 13.4312 - val_loss: 16.6138\n",
            "Epoch 766/3000\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 14.3568 - val_loss: 16.5866\n",
            "Epoch 767/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.4676 - val_loss: 16.5588\n",
            "Epoch 768/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 13.4672 - val_loss: 16.5226\n",
            "Epoch 769/3000\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 13.5271 - val_loss: 16.4929\n",
            "Epoch 770/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.4082 - val_loss: 16.4621\n",
            "Epoch 771/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 13.3715 - val_loss: 16.4347\n",
            "Epoch 772/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.0277 - val_loss: 16.3940\n",
            "Epoch 773/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.1775 - val_loss: 16.3408\n",
            "Epoch 774/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.5096 - val_loss: 16.2654\n",
            "Epoch 775/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.9488 - val_loss: 16.1736\n",
            "Epoch 776/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 13.8742 - val_loss: 16.0864\n",
            "Epoch 777/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.4358 - val_loss: 16.0355\n",
            "Epoch 778/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 12.5580 - val_loss: 16.0527\n",
            "Epoch 779/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.6431 - val_loss: 16.1166\n",
            "Epoch 780/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 12.9602 - val_loss: 16.1519\n",
            "Epoch 781/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.8292 - val_loss: 16.1364\n",
            "Epoch 782/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.3165 - val_loss: 16.0444\n",
            "Epoch 783/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.1769 - val_loss: 15.9279\n",
            "Epoch 784/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.4437 - val_loss: 15.8289\n",
            "Epoch 785/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.2033 - val_loss: 15.7660\n",
            "Epoch 786/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 13.3404 - val_loss: 15.7287\n",
            "Epoch 787/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.9571 - val_loss: 15.7059\n",
            "Epoch 788/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.3136 - val_loss: 15.6762\n",
            "Epoch 789/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 12.9724 - val_loss: 15.6537\n",
            "Epoch 790/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.9112 - val_loss: 15.6385\n",
            "Epoch 791/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.0357 - val_loss: 15.6312\n",
            "Epoch 792/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.2159 - val_loss: 15.6251\n",
            "Epoch 793/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 12.3588 - val_loss: 15.6184\n",
            "Epoch 794/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.6461 - val_loss: 15.6049\n",
            "Epoch 795/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 13.3259 - val_loss: 15.5860\n",
            "Epoch 796/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.7915 - val_loss: 15.5567\n",
            "Epoch 797/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.9177 - val_loss: 15.5228\n",
            "Epoch 798/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.0457 - val_loss: 15.4946\n",
            "Epoch 799/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.8771 - val_loss: 15.4629\n",
            "Epoch 800/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.6465 - val_loss: 15.4388\n",
            "Epoch 801/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.3930 - val_loss: 15.4138\n",
            "Epoch 802/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.8121 - val_loss: 15.3942\n",
            "Epoch 803/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.1740 - val_loss: 15.3795\n",
            "Epoch 804/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.9795 - val_loss: 15.3615\n",
            "Epoch 805/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 12.4496 - val_loss: 15.3423\n",
            "Epoch 806/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 12.4113 - val_loss: 15.3190\n",
            "Epoch 807/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 13.3632 - val_loss: 15.2957\n",
            "Epoch 808/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.0092 - val_loss: 15.2801\n",
            "Epoch 809/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.7839 - val_loss: 15.2618\n",
            "Epoch 810/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.0505 - val_loss: 15.2293\n",
            "Epoch 811/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.5725 - val_loss: 15.1867\n",
            "Epoch 812/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.0842 - val_loss: 15.1280\n",
            "Epoch 813/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.2728 - val_loss: 15.0695\n",
            "Epoch 814/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.3394 - val_loss: 15.0020\n",
            "Epoch 815/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 12.4851 - val_loss: 14.9600\n",
            "Epoch 816/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.5038 - val_loss: 14.9419\n",
            "Epoch 817/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.9061 - val_loss: 14.9152\n",
            "Epoch 818/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.9690 - val_loss: 14.9093\n",
            "Epoch 819/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.8669 - val_loss: 14.8929\n",
            "Epoch 820/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.6519 - val_loss: 14.8552\n",
            "Epoch 821/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 12.0168 - val_loss: 14.8287\n",
            "Epoch 822/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.4506 - val_loss: 14.7955\n",
            "Epoch 823/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.1636 - val_loss: 14.7631\n",
            "Epoch 824/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 10.7556 - val_loss: 14.7583\n",
            "Epoch 825/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.2767 - val_loss: 14.7232\n",
            "Epoch 826/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.8452 - val_loss: 14.6732\n",
            "Epoch 827/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.0220 - val_loss: 14.5981\n",
            "Epoch 828/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.9528 - val_loss: 14.5330\n",
            "Epoch 829/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.5179 - val_loss: 14.4801\n",
            "Epoch 830/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.2188 - val_loss: 14.4301\n",
            "Epoch 831/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.8062 - val_loss: 14.3974\n",
            "Epoch 832/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.7743 - val_loss: 14.3619\n",
            "Epoch 833/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.5840 - val_loss: 14.3322\n",
            "Epoch 834/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 11.1069 - val_loss: 14.3022\n",
            "Epoch 835/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 11.1421 - val_loss: 14.2872\n",
            "Epoch 836/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.3404 - val_loss: 14.2629\n",
            "Epoch 837/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.2800 - val_loss: 14.2471\n",
            "Epoch 838/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.9235 - val_loss: 14.2249\n",
            "Epoch 839/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 11.0402 - val_loss: 14.2083\n",
            "Epoch 840/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.7416 - val_loss: 14.1840\n",
            "Epoch 841/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.9877 - val_loss: 14.1458\n",
            "Epoch 842/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.7743 - val_loss: 14.1003\n",
            "Epoch 843/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 11.0246 - val_loss: 14.0614\n",
            "Epoch 844/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 10.5827 - val_loss: 14.0256\n",
            "Epoch 845/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.9184 - val_loss: 13.9936\n",
            "Epoch 846/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.3246 - val_loss: 13.9487\n",
            "Epoch 847/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.1129 - val_loss: 13.8986\n",
            "Epoch 848/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.1029 - val_loss: 13.8394\n",
            "Epoch 849/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 10.2769 - val_loss: 13.7525\n",
            "Epoch 850/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.6923 - val_loss: 13.6828\n",
            "Epoch 851/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.3818 - val_loss: 13.6400\n",
            "Epoch 852/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.0250 - val_loss: 13.6182\n",
            "Epoch 853/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 10.5754 - val_loss: 13.5995\n",
            "Epoch 854/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.8867 - val_loss: 13.5655\n",
            "Epoch 855/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.2130 - val_loss: 13.5006\n",
            "Epoch 856/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.1134 - val_loss: 13.4475\n",
            "Epoch 857/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.6294 - val_loss: 13.3883\n",
            "Epoch 858/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.0465 - val_loss: 13.3150\n",
            "Epoch 859/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.9628 - val_loss: 13.2797\n",
            "Epoch 860/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.6313 - val_loss: 13.2617\n",
            "Epoch 861/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.2422 - val_loss: 13.2504\n",
            "Epoch 862/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.3240 - val_loss: 13.2445\n",
            "Epoch 863/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 9.4714 - val_loss: 13.2177\n",
            "Epoch 864/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.6327 - val_loss: 13.1861\n",
            "Epoch 865/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.8402 - val_loss: 13.1492\n",
            "Epoch 866/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.9777 - val_loss: 13.1091\n",
            "Epoch 867/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.0705 - val_loss: 13.0628\n",
            "Epoch 868/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.8104 - val_loss: 13.0069\n",
            "Epoch 869/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.3353 - val_loss: 12.9620\n",
            "Epoch 870/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.2173 - val_loss: 12.9173\n",
            "Epoch 871/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.1015 - val_loss: 12.8912\n",
            "Epoch 872/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.8709 - val_loss: 12.8846\n",
            "Epoch 873/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 9.5195 - val_loss: 12.8750\n",
            "Epoch 874/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.1756 - val_loss: 12.8598\n",
            "Epoch 875/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.0700 - val_loss: 12.8362\n",
            "Epoch 876/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.1899 - val_loss: 12.7920\n",
            "Epoch 877/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 9.9291 - val_loss: 12.7484\n",
            "Epoch 878/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.5429 - val_loss: 12.7002\n",
            "Epoch 879/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.4606 - val_loss: 12.6434\n",
            "Epoch 880/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.0133 - val_loss: 12.5977\n",
            "Epoch 881/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.2650 - val_loss: 12.5636\n",
            "Epoch 882/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 9.9759 - val_loss: 12.5344\n",
            "Epoch 883/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 9.3974 - val_loss: 12.5013\n",
            "Epoch 884/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.6372 - val_loss: 12.4638\n",
            "Epoch 885/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 9.4715 - val_loss: 12.4285\n",
            "Epoch 886/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.8784 - val_loss: 12.4030\n",
            "Epoch 887/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.5659 - val_loss: 12.3794\n",
            "Epoch 888/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.5395 - val_loss: 12.3454\n",
            "Epoch 889/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.6946 - val_loss: 12.3187\n",
            "Epoch 890/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 9.9231 - val_loss: 12.2851\n",
            "Epoch 891/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 9.0201 - val_loss: 12.2664\n",
            "Epoch 892/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 9.4024 - val_loss: 12.2392\n",
            "Epoch 893/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.3298 - val_loss: 12.2117\n",
            "Epoch 894/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.9549 - val_loss: 12.1670\n",
            "Epoch 895/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.6296 - val_loss: 12.1285\n",
            "Epoch 896/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 9.7972 - val_loss: 12.1024\n",
            "Epoch 897/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 10.4396 - val_loss: 12.0793\n",
            "Epoch 898/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.3259 - val_loss: 12.0575\n",
            "Epoch 899/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.6821 - val_loss: 12.0369\n",
            "Epoch 900/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.1679 - val_loss: 12.0174\n",
            "Epoch 901/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.1159 - val_loss: 11.9927\n",
            "Epoch 902/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 9.5805 - val_loss: 11.9507\n",
            "Epoch 903/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.9451 - val_loss: 11.9254\n",
            "Epoch 904/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.8700 - val_loss: 11.9196\n",
            "Epoch 905/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 9.3983 - val_loss: 11.8925\n",
            "Epoch 906/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.2410 - val_loss: 11.8611\n",
            "Epoch 907/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.5077 - val_loss: 11.8478\n",
            "Epoch 908/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.7462 - val_loss: 11.8511\n",
            "Epoch 909/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.0587 - val_loss: 11.8621\n",
            "Epoch 910/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.1492 - val_loss: 11.8676\n",
            "Epoch 911/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.6739 - val_loss: 11.8681\n",
            "Epoch 912/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 8.4624 - val_loss: 11.8638\n",
            "Epoch 913/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.5223 - val_loss: 11.8675\n",
            "Epoch 914/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.7634 - val_loss: 11.8480\n",
            "Epoch 915/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 8.8905 - val_loss: 11.8030\n",
            "Epoch 916/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.3106 - val_loss: 11.7703\n",
            "Epoch 917/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.9777 - val_loss: 11.7449\n",
            "Epoch 918/3000\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 9.0869 - val_loss: 11.6954\n",
            "Epoch 919/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 8.7993 - val_loss: 11.6546\n",
            "Epoch 920/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.2719 - val_loss: 11.6118\n",
            "Epoch 921/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 9.3902 - val_loss: 11.5685\n",
            "Epoch 922/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.3222 - val_loss: 11.5203\n",
            "Epoch 923/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.4100 - val_loss: 11.4789\n",
            "Epoch 924/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.3883 - val_loss: 11.4507\n",
            "Epoch 925/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.6020 - val_loss: 11.4385\n",
            "Epoch 926/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.4312 - val_loss: 11.4413\n",
            "Epoch 927/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.8077 - val_loss: 11.4533\n",
            "Epoch 928/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.8933 - val_loss: 11.4789\n",
            "Epoch 929/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.8944 - val_loss: 11.5075\n",
            "Epoch 930/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.3546 - val_loss: 11.5512\n",
            "Epoch 931/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 8.8184 - val_loss: 11.5582\n",
            "Epoch 932/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.3846 - val_loss: 11.5574\n",
            "Epoch 933/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.9023 - val_loss: 11.5339\n",
            "Epoch 934/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.6371 - val_loss: 11.4862\n",
            "Epoch 935/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.6307 - val_loss: 11.4056\n",
            "Epoch 936/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.0472 - val_loss: 11.3289\n",
            "Epoch 937/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.4347 - val_loss: 11.2711\n",
            "Epoch 938/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.1542 - val_loss: 11.2255\n",
            "Epoch 939/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.6433 - val_loss: 11.1868\n",
            "Epoch 940/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.5118 - val_loss: 11.1515\n",
            "Epoch 941/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 7.9381 - val_loss: 11.1478\n",
            "Epoch 942/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.4407 - val_loss: 11.1387\n",
            "Epoch 943/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.8933 - val_loss: 11.1410\n",
            "Epoch 944/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.4284 - val_loss: 11.1460\n",
            "Epoch 945/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.3705 - val_loss: 11.1590\n",
            "Epoch 946/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 8.5304 - val_loss: 11.1438\n",
            "Epoch 947/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.6487 - val_loss: 11.1480\n",
            "Epoch 948/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.4519 - val_loss: 11.1601\n",
            "Epoch 949/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.6039 - val_loss: 11.1751\n",
            "Epoch 950/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 8.3801 - val_loss: 11.1724\n",
            "Epoch 951/3000\n",
            "2/2 [==============================] - 0s 86ms/step - loss: 8.0627 - val_loss: 11.1516\n",
            "Epoch 952/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.2246 - val_loss: 11.1260\n",
            "Epoch 953/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.2764 - val_loss: 11.0909\n",
            "Epoch 954/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.3493 - val_loss: 11.0676\n",
            "Epoch 955/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.8272 - val_loss: 11.0452\n",
            "Epoch 956/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.6302 - val_loss: 11.0098\n",
            "Epoch 957/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.3615 - val_loss: 10.9717\n",
            "Epoch 958/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.7126 - val_loss: 10.9393\n",
            "Epoch 959/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.8389 - val_loss: 10.9118\n",
            "Epoch 960/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 7.7218 - val_loss: 10.8698\n",
            "Epoch 961/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.9448 - val_loss: 10.8310\n",
            "Epoch 962/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.8063 - val_loss: 10.8056\n",
            "Epoch 963/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.0108 - val_loss: 10.7947\n",
            "Epoch 964/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.9620 - val_loss: 10.8125\n",
            "Epoch 965/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.5980 - val_loss: 10.8413\n",
            "Epoch 966/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.4836 - val_loss: 10.8556\n",
            "Epoch 967/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.7055 - val_loss: 10.8720\n",
            "Epoch 968/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.0694 - val_loss: 10.8710\n",
            "Epoch 969/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.6975 - val_loss: 10.8497\n",
            "Epoch 970/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 7.7921 - val_loss: 10.8328\n",
            "Epoch 971/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.9517 - val_loss: 10.8131\n",
            "Epoch 972/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.6388 - val_loss: 10.7671\n",
            "Epoch 973/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.4671 - val_loss: 10.7214\n",
            "Epoch 974/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.9048 - val_loss: 10.6823\n",
            "Epoch 975/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.0388 - val_loss: 10.6525\n",
            "Epoch 976/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.7732 - val_loss: 10.6320\n",
            "Epoch 977/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.4620 - val_loss: 10.6219\n",
            "Epoch 978/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.6585 - val_loss: 10.6089\n",
            "Epoch 979/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.0444 - val_loss: 10.5846\n",
            "Epoch 980/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 8.4739 - val_loss: 10.5521\n",
            "Epoch 981/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.9177 - val_loss: 10.5278\n",
            "Epoch 982/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.5172 - val_loss: 10.5171\n",
            "Epoch 983/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.5833 - val_loss: 10.5248\n",
            "Epoch 984/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.8882 - val_loss: 10.5257\n",
            "Epoch 985/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 7.5989 - val_loss: 10.5288\n",
            "Epoch 986/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.4137 - val_loss: 10.5287\n",
            "Epoch 987/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.8535 - val_loss: 10.5235\n",
            "Epoch 988/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 7.5149 - val_loss: 10.4910\n",
            "Epoch 989/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 7.7276 - val_loss: 10.4447\n",
            "Epoch 990/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.9789 - val_loss: 10.3911\n",
            "Epoch 991/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.6864 - val_loss: 10.3421\n",
            "Epoch 992/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.3362 - val_loss: 10.3242\n",
            "Epoch 993/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.7198 - val_loss: 10.3194\n",
            "Epoch 994/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.4217 - val_loss: 10.3064\n",
            "Epoch 995/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.3308 - val_loss: 10.2735\n",
            "Epoch 996/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.1626 - val_loss: 10.2447\n",
            "Epoch 997/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.0393 - val_loss: 10.2211\n",
            "Epoch 998/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 7.2361 - val_loss: 10.2037\n",
            "Epoch 999/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 7.3566 - val_loss: 10.1941\n",
            "Epoch 1000/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.0614 - val_loss: 10.1744\n",
            "Epoch 1001/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.0622 - val_loss: 10.1591\n",
            "Epoch 1002/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.1167 - val_loss: 10.1567\n",
            "Epoch 1003/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.9436 - val_loss: 10.1373\n",
            "Epoch 1004/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.4547 - val_loss: 10.1326\n",
            "Epoch 1005/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.2916 - val_loss: 10.1284\n",
            "Epoch 1006/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.7263 - val_loss: 10.1173\n",
            "Epoch 1007/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.7189 - val_loss: 10.1090\n",
            "Epoch 1008/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.3891 - val_loss: 10.0946\n",
            "Epoch 1009/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 7.3050 - val_loss: 10.0787\n",
            "Epoch 1010/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.8893 - val_loss: 10.0458\n",
            "Epoch 1011/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.0633 - val_loss: 10.0041\n",
            "Epoch 1012/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.5272 - val_loss: 9.9687\n",
            "Epoch 1013/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.8275 - val_loss: 9.9403\n",
            "Epoch 1014/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.5429 - val_loss: 9.9271\n",
            "Epoch 1015/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.0767 - val_loss: 9.9350\n",
            "Epoch 1016/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.4049 - val_loss: 9.9432\n",
            "Epoch 1017/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.3568 - val_loss: 9.9500\n",
            "Epoch 1018/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 7.0841 - val_loss: 9.9586\n",
            "Epoch 1019/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.7694 - val_loss: 9.9292\n",
            "Epoch 1020/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.7590 - val_loss: 9.9051\n",
            "Epoch 1021/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.0229 - val_loss: 9.8883\n",
            "Epoch 1022/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.1072 - val_loss: 9.8766\n",
            "Epoch 1023/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.2511 - val_loss: 9.8597\n",
            "Epoch 1024/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.6988 - val_loss: 9.8383\n",
            "Epoch 1025/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.6778 - val_loss: 9.8126\n",
            "Epoch 1026/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.6854 - val_loss: 9.7998\n",
            "Epoch 1027/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.7459 - val_loss: 9.8106\n",
            "Epoch 1028/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.6757 - val_loss: 9.8300\n",
            "Epoch 1029/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.8665 - val_loss: 9.8413\n",
            "Epoch 1030/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.6433 - val_loss: 9.8428\n",
            "Epoch 1031/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.6385 - val_loss: 9.8403\n",
            "Epoch 1032/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.7875 - val_loss: 9.8267\n",
            "Epoch 1033/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.4109 - val_loss: 9.8108\n",
            "Epoch 1034/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.4546 - val_loss: 9.7791\n",
            "Epoch 1035/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.2408 - val_loss: 9.7460\n",
            "Epoch 1036/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.9163 - val_loss: 9.7133\n",
            "Epoch 1037/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.4536 - val_loss: 9.6793\n",
            "Epoch 1038/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.7224 - val_loss: 9.6523\n",
            "Epoch 1039/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.2927 - val_loss: 9.6227\n",
            "Epoch 1040/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.7965 - val_loss: 9.5932\n",
            "Epoch 1041/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.1176 - val_loss: 9.5737\n",
            "Epoch 1042/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.4882 - val_loss: 9.5796\n",
            "Epoch 1043/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.3450 - val_loss: 9.5878\n",
            "Epoch 1044/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.7926 - val_loss: 9.5946\n",
            "Epoch 1045/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.3457 - val_loss: 9.6117\n",
            "Epoch 1046/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.8933 - val_loss: 9.6199\n",
            "Epoch 1047/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.5338 - val_loss: 9.6295\n",
            "Epoch 1048/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 7.0579 - val_loss: 9.6148\n",
            "Epoch 1049/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 6.6765 - val_loss: 9.5865\n",
            "Epoch 1050/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.4377 - val_loss: 9.5562\n",
            "Epoch 1051/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.2327 - val_loss: 9.5229\n",
            "Epoch 1052/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.4571 - val_loss: 9.5010\n",
            "Epoch 1053/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.9394 - val_loss: 9.4896\n",
            "Epoch 1054/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.8326 - val_loss: 9.4805\n",
            "Epoch 1055/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.4432 - val_loss: 9.4776\n",
            "Epoch 1056/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.9822 - val_loss: 9.4715\n",
            "Epoch 1057/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.3989 - val_loss: 9.4590\n",
            "Epoch 1058/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.6200 - val_loss: 9.4304\n",
            "Epoch 1059/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.0796 - val_loss: 9.4075\n",
            "Epoch 1060/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.6254 - val_loss: 9.4007\n",
            "Epoch 1061/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.5016 - val_loss: 9.4004\n",
            "Epoch 1062/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1466 - val_loss: 9.4066\n",
            "Epoch 1063/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.8530 - val_loss: 9.4225\n",
            "Epoch 1064/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 6.7748 - val_loss: 9.4188\n",
            "Epoch 1065/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.0769 - val_loss: 9.3825\n",
            "Epoch 1066/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1062 - val_loss: 9.3371\n",
            "Epoch 1067/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.2141 - val_loss: 9.3079\n",
            "Epoch 1068/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.8778 - val_loss: 9.2976\n",
            "Epoch 1069/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.4583 - val_loss: 9.2961\n",
            "Epoch 1070/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.4526 - val_loss: 9.2782\n",
            "Epoch 1071/3000\n",
            "2/2 [==============================] - 0s 22ms/step - loss: 6.9952 - val_loss: 9.2761\n",
            "Epoch 1072/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.8607 - val_loss: 9.2930\n",
            "Epoch 1073/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.1431 - val_loss: 9.3110\n",
            "Epoch 1074/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.6409 - val_loss: 9.3175\n",
            "Epoch 1075/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 6.6435 - val_loss: 9.3007\n",
            "Epoch 1076/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.3885 - val_loss: 9.2931\n",
            "Epoch 1077/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.2145 - val_loss: 9.2977\n",
            "Epoch 1078/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.0210 - val_loss: 9.3012\n",
            "Epoch 1079/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.9479 - val_loss: 9.2784\n",
            "Epoch 1080/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.0841 - val_loss: 9.2731\n",
            "Epoch 1081/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.6180 - val_loss: 9.2535\n",
            "Epoch 1082/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.7164 - val_loss: 9.2307\n",
            "Epoch 1083/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.7698 - val_loss: 9.1892\n",
            "Epoch 1084/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.3126 - val_loss: 9.1648\n",
            "Epoch 1085/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.0350 - val_loss: 9.1431\n",
            "Epoch 1086/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.3434 - val_loss: 9.1191\n",
            "Epoch 1087/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.4725 - val_loss: 9.1025\n",
            "Epoch 1088/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.9242 - val_loss: 9.0802\n",
            "Epoch 1089/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.3302 - val_loss: 9.0771\n",
            "Epoch 1090/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.5599 - val_loss: 9.0929\n",
            "Epoch 1091/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.3354 - val_loss: 9.1160\n",
            "Epoch 1092/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5810 - val_loss: 9.1269\n",
            "Epoch 1093/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8800 - val_loss: 9.0939\n",
            "Epoch 1094/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.9297 - val_loss: 9.0619\n",
            "Epoch 1095/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.0418 - val_loss: 9.0463\n",
            "Epoch 1096/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 6.4443 - val_loss: 9.0341\n",
            "Epoch 1097/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.8672 - val_loss: 9.0189\n",
            "Epoch 1098/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.5190 - val_loss: 9.0093\n",
            "Epoch 1099/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.4419 - val_loss: 9.0055\n",
            "Epoch 1100/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1507 - val_loss: 8.9996\n",
            "Epoch 1101/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.7708 - val_loss: 8.9841\n",
            "Epoch 1102/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.8825 - val_loss: 8.9704\n",
            "Epoch 1103/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.0298 - val_loss: 8.9605\n",
            "Epoch 1104/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.0887 - val_loss: 8.9518\n",
            "Epoch 1105/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.3655 - val_loss: 8.9329\n",
            "Epoch 1106/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.9896 - val_loss: 8.9131\n",
            "Epoch 1107/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8900 - val_loss: 8.9207\n",
            "Epoch 1108/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 5.9088 - val_loss: 8.9344\n",
            "Epoch 1109/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.9007 - val_loss: 8.9529\n",
            "Epoch 1110/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.1408 - val_loss: 8.9493\n",
            "Epoch 1111/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.7067 - val_loss: 8.9314\n",
            "Epoch 1112/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.1608 - val_loss: 8.9090\n",
            "Epoch 1113/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.9927 - val_loss: 8.8927\n",
            "Epoch 1114/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.3087 - val_loss: 8.8750\n",
            "Epoch 1115/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 6.1121 - val_loss: 8.8608\n",
            "Epoch 1116/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 6.2777 - val_loss: 8.8439\n",
            "Epoch 1117/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.7172 - val_loss: 8.8339\n",
            "Epoch 1118/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.9134 - val_loss: 8.8246\n",
            "Epoch 1119/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5201 - val_loss: 8.8244\n",
            "Epoch 1120/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.6334 - val_loss: 8.8233\n",
            "Epoch 1121/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.0105 - val_loss: 8.8162\n",
            "Epoch 1122/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.7802 - val_loss: 8.7900\n",
            "Epoch 1123/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.6343 - val_loss: 8.7770\n",
            "Epoch 1124/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 5.6805 - val_loss: 8.7707\n",
            "Epoch 1125/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 5.3325 - val_loss: 8.7735\n",
            "Epoch 1126/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.6614 - val_loss: 8.7772\n",
            "Epoch 1127/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.7161 - val_loss: 8.7927\n",
            "Epoch 1128/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.6259 - val_loss: 8.8097\n",
            "Epoch 1129/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.7544 - val_loss: 8.8253\n",
            "Epoch 1130/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.5501 - val_loss: 8.8152\n",
            "Epoch 1131/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 6.2894 - val_loss: 8.8053\n",
            "Epoch 1132/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.7647 - val_loss: 8.7934\n",
            "Epoch 1133/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8456 - val_loss: 8.7878\n",
            "Epoch 1134/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.0600 - val_loss: 8.7830\n",
            "Epoch 1135/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5533 - val_loss: 8.7824\n",
            "Epoch 1136/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.7137 - val_loss: 8.7712\n",
            "Epoch 1137/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2632 - val_loss: 8.7620\n",
            "Epoch 1138/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 5.5607 - val_loss: 8.7465\n",
            "Epoch 1139/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.8966 - val_loss: 8.7325\n",
            "Epoch 1140/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.0778 - val_loss: 8.7081\n",
            "Epoch 1141/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8419 - val_loss: 8.6853\n",
            "Epoch 1142/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8634 - val_loss: 8.6583\n",
            "Epoch 1143/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.6548 - val_loss: 8.6482\n",
            "Epoch 1144/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.3191 - val_loss: 8.6442\n",
            "Epoch 1145/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8914 - val_loss: 8.6407\n",
            "Epoch 1146/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5015 - val_loss: 8.6398\n",
            "Epoch 1147/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8811 - val_loss: 8.6420\n",
            "Epoch 1148/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.7381 - val_loss: 8.6356\n",
            "Epoch 1149/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.6205 - val_loss: 8.6174\n",
            "Epoch 1150/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.0718 - val_loss: 8.6174\n",
            "Epoch 1151/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 5.6926 - val_loss: 8.6223\n",
            "Epoch 1152/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.4536 - val_loss: 8.6452\n",
            "Epoch 1153/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.7513 - val_loss: 8.6586\n",
            "Epoch 1154/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 5.7039 - val_loss: 8.6672\n",
            "Epoch 1155/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8094 - val_loss: 8.6574\n",
            "Epoch 1156/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2974 - val_loss: 8.6255\n",
            "Epoch 1157/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.5715 - val_loss: 8.6018\n",
            "Epoch 1158/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.5217 - val_loss: 8.5849\n",
            "Epoch 1159/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.8831 - val_loss: 8.5806\n",
            "Epoch 1160/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.5278 - val_loss: 8.5922\n",
            "Epoch 1161/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.4857 - val_loss: 8.6078\n",
            "Epoch 1162/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.7434 - val_loss: 8.6128\n",
            "Epoch 1163/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1639 - val_loss: 8.6056\n",
            "Epoch 1164/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 5.6183 - val_loss: 8.5935\n",
            "Epoch 1165/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.6126 - val_loss: 8.5613\n",
            "Epoch 1166/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.0266 - val_loss: 8.5201\n",
            "Epoch 1167/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1092 - val_loss: 8.4983\n",
            "Epoch 1168/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3528 - val_loss: 8.5009\n",
            "Epoch 1169/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1425 - val_loss: 8.4969\n",
            "Epoch 1170/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.5049 - val_loss: 8.4938\n",
            "Epoch 1171/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.4020 - val_loss: 8.4881\n",
            "Epoch 1172/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.3753 - val_loss: 8.4784\n",
            "Epoch 1173/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.6971 - val_loss: 8.4617\n",
            "Epoch 1174/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.0439 - val_loss: 8.4626\n",
            "Epoch 1175/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3733 - val_loss: 8.4530\n",
            "Epoch 1176/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2323 - val_loss: 8.4441\n",
            "Epoch 1177/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.4823 - val_loss: 8.4374\n",
            "Epoch 1178/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1280 - val_loss: 8.4227\n",
            "Epoch 1179/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.7280 - val_loss: 8.4117\n",
            "Epoch 1180/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 5.6433 - val_loss: 8.3946\n",
            "Epoch 1181/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.4877 - val_loss: 8.3805\n",
            "Epoch 1182/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.4806 - val_loss: 8.3491\n",
            "Epoch 1183/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 5.2496 - val_loss: 8.3339\n",
            "Epoch 1184/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5475 - val_loss: 8.3106\n",
            "Epoch 1185/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.3226 - val_loss: 8.3066\n",
            "Epoch 1186/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2217 - val_loss: 8.3171\n",
            "Epoch 1187/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.3961 - val_loss: 8.3406\n",
            "Epoch 1188/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.5094 - val_loss: 8.3560\n",
            "Epoch 1189/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.5924 - val_loss: 8.3599\n",
            "Epoch 1190/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5735 - val_loss: 8.3659\n",
            "Epoch 1191/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.5973 - val_loss: 8.3602\n",
            "Epoch 1192/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5392 - val_loss: 8.3450\n",
            "Epoch 1193/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 5.2928 - val_loss: 8.3415\n",
            "Epoch 1194/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0388 - val_loss: 8.3511\n",
            "Epoch 1195/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.7778 - val_loss: 8.3662\n",
            "Epoch 1196/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.0599 - val_loss: 8.3647\n",
            "Epoch 1197/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 5.4333 - val_loss: 8.3567\n",
            "Epoch 1198/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.0250 - val_loss: 8.3428\n",
            "Epoch 1199/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1024 - val_loss: 8.3399\n",
            "Epoch 1200/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.6530 - val_loss: 8.3400\n",
            "Epoch 1201/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.4346 - val_loss: 8.3427\n",
            "Epoch 1202/3000\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 5.0970 - val_loss: 8.3607\n",
            "Epoch 1203/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 5.0779 - val_loss: 8.3613\n",
            "Epoch 1204/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.7607 - val_loss: 8.3593\n",
            "Epoch 1205/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5792 - val_loss: 8.3556\n",
            "Epoch 1206/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.8489 - val_loss: 8.3580\n",
            "Epoch 1207/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.9502 - val_loss: 8.3560\n",
            "Epoch 1208/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.4093 - val_loss: 8.3368\n",
            "Epoch 1209/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1826 - val_loss: 8.3119\n",
            "Epoch 1210/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2384 - val_loss: 8.2886\n",
            "Epoch 1211/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.1307 - val_loss: 8.2809\n",
            "Epoch 1212/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.8468 - val_loss: 8.2899\n",
            "Epoch 1213/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2352 - val_loss: 8.3146\n",
            "Epoch 1214/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 5.2485 - val_loss: 8.3350\n",
            "Epoch 1215/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.8410 - val_loss: 8.3419\n",
            "Epoch 1216/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0035 - val_loss: 8.3530\n",
            "Epoch 1217/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.1998 - val_loss: 8.3323\n",
            "Epoch 1218/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.5308 - val_loss: 8.2858\n",
            "Epoch 1219/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2172 - val_loss: 8.2566\n",
            "Epoch 1220/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.4506 - val_loss: 8.2321\n",
            "Epoch 1221/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2546 - val_loss: 8.2220\n",
            "Epoch 1222/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 4.8157 - val_loss: 8.2316\n",
            "Epoch 1223/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2127 - val_loss: 8.2473\n",
            "Epoch 1224/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2863 - val_loss: 8.2563\n",
            "Epoch 1225/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0497 - val_loss: 8.2468\n",
            "Epoch 1226/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.8673 - val_loss: 8.2143\n",
            "Epoch 1227/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0657 - val_loss: 8.1848\n",
            "Epoch 1228/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.9940 - val_loss: 8.1682\n",
            "Epoch 1229/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0333 - val_loss: 8.1776\n",
            "Epoch 1230/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1762 - val_loss: 8.1848\n",
            "Epoch 1231/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0085 - val_loss: 8.1930\n",
            "Epoch 1232/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.6533 - val_loss: 8.2019\n",
            "Epoch 1233/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.9607 - val_loss: 8.1990\n",
            "Epoch 1234/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.1259 - val_loss: 8.1868\n",
            "Epoch 1235/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 5.0571 - val_loss: 8.1684\n",
            "Epoch 1236/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2008 - val_loss: 8.1512\n",
            "Epoch 1237/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.8777 - val_loss: 8.1344\n",
            "Epoch 1238/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3363 - val_loss: 8.1415\n",
            "Epoch 1239/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.8039 - val_loss: 8.1785\n",
            "Epoch 1240/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2278 - val_loss: 8.2070\n",
            "Epoch 1241/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.1627 - val_loss: 8.2094\n",
            "Epoch 1242/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.3122 - val_loss: 8.1856\n",
            "Epoch 1243/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.0151 - val_loss: 8.1508\n",
            "Epoch 1244/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0423 - val_loss: 8.1141\n",
            "Epoch 1245/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.9615 - val_loss: 8.0847\n",
            "Epoch 1246/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.7367 - val_loss: 8.0670\n",
            "Epoch 1247/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.9202 - val_loss: 8.0604\n",
            "Epoch 1248/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.1315 - val_loss: 8.0820\n",
            "Epoch 1249/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.1857 - val_loss: 8.0858\n",
            "Epoch 1250/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.7463 - val_loss: 8.0919\n",
            "Epoch 1251/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.7938 - val_loss: 8.0996\n",
            "Epoch 1252/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.1236 - val_loss: 8.1149\n",
            "Epoch 1253/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.7286 - val_loss: 8.1209\n",
            "Epoch 1254/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.7818 - val_loss: 8.1066\n",
            "Epoch 1255/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2991 - val_loss: 8.0940\n",
            "Epoch 1256/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.4114 - val_loss: 8.0979\n",
            "Epoch 1257/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.0713 - val_loss: 8.0798\n",
            "Epoch 1258/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.6925 - val_loss: 8.0780\n",
            "Epoch 1259/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.9313 - val_loss: 8.0706\n",
            "Epoch 1260/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.6254 - val_loss: 8.0562\n",
            "Epoch 1261/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.8464 - val_loss: 8.0412\n",
            "Epoch 1262/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.1578 - val_loss: 8.0287\n",
            "Epoch 1263/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.5631 - val_loss: 7.9974\n",
            "Epoch 1264/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.6968 - val_loss: 7.9721\n",
            "Epoch 1265/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.1844 - val_loss: 7.9449\n",
            "Epoch 1266/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0272 - val_loss: 7.9347\n",
            "Epoch 1267/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.8415 - val_loss: 7.9484\n",
            "Epoch 1268/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.6962 - val_loss: 7.9657\n",
            "Epoch 1269/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.6722 - val_loss: 7.9483\n",
            "Epoch 1270/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.6238 - val_loss: 7.9363\n",
            "Epoch 1271/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2263 - val_loss: 7.9350\n",
            "Epoch 1272/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0732 - val_loss: 7.9534\n",
            "Epoch 1273/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.8471 - val_loss: 7.9845\n",
            "Epoch 1274/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.8155 - val_loss: 8.0072\n",
            "Epoch 1275/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5467 - val_loss: 8.0178\n",
            "Epoch 1276/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4562 - val_loss: 8.0275\n",
            "Epoch 1277/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3345 - val_loss: 8.0017\n",
            "Epoch 1278/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.9223 - val_loss: 7.9748\n",
            "Epoch 1279/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.4593 - val_loss: 7.9669\n",
            "Epoch 1280/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.9351 - val_loss: 7.9659\n",
            "Epoch 1281/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4852 - val_loss: 7.9849\n",
            "Epoch 1282/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5681 - val_loss: 7.9890\n",
            "Epoch 1283/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.8150 - val_loss: 7.9721\n",
            "Epoch 1284/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1390 - val_loss: 7.9327\n",
            "Epoch 1285/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2334 - val_loss: 7.8828\n",
            "Epoch 1286/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.9407 - val_loss: 7.8516\n",
            "Epoch 1287/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4495 - val_loss: 7.8321\n",
            "Epoch 1288/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5949 - val_loss: 7.8214\n",
            "Epoch 1289/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.6252 - val_loss: 7.8175\n",
            "Epoch 1290/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.8612 - val_loss: 7.8143\n",
            "Epoch 1291/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.9969 - val_loss: 7.8019\n",
            "Epoch 1292/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.6290 - val_loss: 7.7808\n",
            "Epoch 1293/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.7168 - val_loss: 7.7589\n",
            "Epoch 1294/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.8559 - val_loss: 7.7534\n",
            "Epoch 1295/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4180 - val_loss: 7.7758\n",
            "Epoch 1296/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.9691 - val_loss: 7.8088\n",
            "Epoch 1297/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.7325 - val_loss: 7.8551\n",
            "Epoch 1298/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4665 - val_loss: 7.8827\n",
            "Epoch 1299/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 5.1253 - val_loss: 7.8877\n",
            "Epoch 1300/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.6601 - val_loss: 7.8919\n",
            "Epoch 1301/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5402 - val_loss: 7.8879\n",
            "Epoch 1302/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.7575 - val_loss: 7.8684\n",
            "Epoch 1303/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4377 - val_loss: 7.8552\n",
            "Epoch 1304/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.5724 - val_loss: 7.8517\n",
            "Epoch 1305/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.6953 - val_loss: 7.8500\n",
            "Epoch 1306/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.9209 - val_loss: 7.8582\n",
            "Epoch 1307/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.7377 - val_loss: 7.8704\n",
            "Epoch 1308/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1528 - val_loss: 7.8819\n",
            "Epoch 1309/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.9143 - val_loss: 7.8859\n",
            "Epoch 1310/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5433 - val_loss: 7.8923\n",
            "Epoch 1311/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3376 - val_loss: 7.8839\n",
            "Epoch 1312/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.4629 - val_loss: 7.8748\n",
            "Epoch 1313/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.8463 - val_loss: 7.8757\n",
            "Epoch 1314/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.5177 - val_loss: 7.8845\n",
            "Epoch 1315/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3776 - val_loss: 7.8898\n",
            "Epoch 1316/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0284 - val_loss: 7.8869\n",
            "Epoch 1317/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.1631 - val_loss: 7.8958\n",
            "Epoch 1318/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.4670 - val_loss: 7.9027\n",
            "Epoch 1319/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.7668 - val_loss: 7.9235\n",
            "Epoch 1320/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3148 - val_loss: 7.9033\n",
            "Epoch 1321/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2417 - val_loss: 7.8759\n",
            "Epoch 1322/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2475 - val_loss: 7.8507\n",
            "Epoch 1323/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4432 - val_loss: 7.8402\n",
            "Epoch 1324/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.7074 - val_loss: 7.8420\n",
            "Epoch 1325/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.8746 - val_loss: 7.8375\n",
            "Epoch 1326/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2992 - val_loss: 7.8224\n",
            "Epoch 1327/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3735 - val_loss: 7.7910\n",
            "Epoch 1328/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.7451 - val_loss: 7.7664\n",
            "Epoch 1329/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.5113 - val_loss: 7.7371\n",
            "Epoch 1330/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5997 - val_loss: 7.7271\n",
            "Epoch 1331/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1467 - val_loss: 7.7062\n",
            "Epoch 1332/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.8246 - val_loss: 7.6791\n",
            "Epoch 1333/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4717 - val_loss: 7.6791\n",
            "Epoch 1334/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4452 - val_loss: 7.6712\n",
            "Epoch 1335/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.6523 - val_loss: 7.6667\n",
            "Epoch 1336/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5762 - val_loss: 7.6956\n",
            "Epoch 1337/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.0862 - val_loss: 7.7208\n",
            "Epoch 1338/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.3214 - val_loss: 7.7429\n",
            "Epoch 1339/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2812 - val_loss: 7.7500\n",
            "Epoch 1340/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.6095 - val_loss: 7.7446\n",
            "Epoch 1341/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.7718 - val_loss: 7.7382\n",
            "Epoch 1342/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5197 - val_loss: 7.7427\n",
            "Epoch 1343/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.6822 - val_loss: 7.7494\n",
            "Epoch 1344/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5381 - val_loss: 7.7667\n",
            "Epoch 1345/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.6971 - val_loss: 7.7789\n",
            "Epoch 1346/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.5947 - val_loss: 7.7711\n",
            "Epoch 1347/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.5440 - val_loss: 7.7377\n",
            "Epoch 1348/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 5.0184 - val_loss: 7.7137\n",
            "Epoch 1349/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.8040 - val_loss: 7.6953\n",
            "Epoch 1350/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5673 - val_loss: 7.6757\n",
            "Epoch 1351/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.6557 - val_loss: 7.6554\n",
            "Epoch 1352/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.1172 - val_loss: 7.6371\n",
            "Epoch 1353/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0620 - val_loss: 7.6268\n",
            "Epoch 1354/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.4626 - val_loss: 7.6195\n",
            "Epoch 1355/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4104 - val_loss: 7.6449\n",
            "Epoch 1356/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4555 - val_loss: 7.6634\n",
            "Epoch 1357/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 4.4353 - val_loss: 7.6802\n",
            "Epoch 1358/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.5605 - val_loss: 7.6657\n",
            "Epoch 1359/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2407 - val_loss: 7.6447\n",
            "Epoch 1360/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3811 - val_loss: 7.6400\n",
            "Epoch 1361/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.7000 - val_loss: 7.6416\n",
            "Epoch 1362/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.5051 - val_loss: 7.6543\n",
            "Epoch 1363/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2626 - val_loss: 7.6640\n",
            "Epoch 1364/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2867 - val_loss: 7.6848\n",
            "Epoch 1365/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1983 - val_loss: 7.7167\n",
            "Epoch 1366/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3224 - val_loss: 7.7391\n",
            "Epoch 1367/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.2845 - val_loss: 7.7427\n",
            "Epoch 1368/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.6687 - val_loss: 7.7266\n",
            "Epoch 1369/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3495 - val_loss: 7.7027\n",
            "Epoch 1370/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.6311 - val_loss: 7.7080\n",
            "Epoch 1371/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2106 - val_loss: 7.7042\n",
            "Epoch 1372/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2407 - val_loss: 7.6986\n",
            "Epoch 1373/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3513 - val_loss: 7.6812\n",
            "Epoch 1374/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0750 - val_loss: 7.6778\n",
            "Epoch 1375/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.7628 - val_loss: 7.6917\n",
            "Epoch 1376/3000\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 4.3096 - val_loss: 7.7071\n",
            "Epoch 1377/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3228 - val_loss: 7.6937\n",
            "Epoch 1378/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.0624 - val_loss: 7.6672\n",
            "Epoch 1379/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.4533 - val_loss: 7.6491\n",
            "Epoch 1380/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0905 - val_loss: 7.6365\n",
            "Epoch 1381/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4932 - val_loss: 7.6545\n",
            "Epoch 1382/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.4711 - val_loss: 7.6751\n",
            "Epoch 1383/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.8033 - val_loss: 7.6981\n",
            "Epoch 1384/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.2736 - val_loss: 7.7085\n",
            "Epoch 1385/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4192 - val_loss: 7.7076\n",
            "Epoch 1386/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.3705 - val_loss: 7.6950\n",
            "Epoch 1387/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4641 - val_loss: 7.6746\n",
            "Epoch 1388/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4122 - val_loss: 7.6685\n",
            "Epoch 1389/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3293 - val_loss: 7.6857\n",
            "Epoch 1390/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2670 - val_loss: 7.6846\n",
            "Epoch 1391/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2905 - val_loss: 7.6765\n",
            "Epoch 1392/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2316 - val_loss: 7.6724\n",
            "Epoch 1393/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3582 - val_loss: 7.6690\n",
            "Epoch 1394/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.7892 - val_loss: 7.6566\n",
            "Epoch 1395/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3758 - val_loss: 7.6595\n",
            "Epoch 1396/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.2501 - val_loss: 7.6705\n",
            "Epoch 1397/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.6056 - val_loss: 7.6887\n",
            "Epoch 1398/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.1176 - val_loss: 7.6878\n",
            "Epoch 1399/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4061 - val_loss: 7.6645\n",
            "Epoch 1400/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.7056 - val_loss: 7.6542\n",
            "Epoch 1401/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.2177 - val_loss: 7.6435\n",
            "Epoch 1402/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.3124 - val_loss: 7.6384\n",
            "Epoch 1403/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.4237 - val_loss: 7.6332\n",
            "Epoch 1404/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3299 - val_loss: 7.6309\n",
            "Epoch 1405/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.2074 - val_loss: 7.6467\n",
            "Epoch 1406/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0167 - val_loss: 7.6772\n",
            "Epoch 1407/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1117 - val_loss: 7.7062\n",
            "Epoch 1408/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2766 - val_loss: 7.6999\n",
            "Epoch 1409/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4211 - val_loss: 7.6884\n",
            "Epoch 1410/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.1748 - val_loss: 7.6655\n",
            "Epoch 1411/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2038 - val_loss: 7.6668\n",
            "Epoch 1412/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.3011 - val_loss: 7.6796\n",
            "Epoch 1413/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4832 - val_loss: 7.6950\n",
            "Epoch 1414/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2279 - val_loss: 7.6753\n",
            "Epoch 1415/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.0325 - val_loss: 7.6462\n",
            "Epoch 1416/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5490 - val_loss: 7.6267\n",
            "Epoch 1417/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4538 - val_loss: 7.6182\n",
            "Epoch 1418/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0717 - val_loss: 7.5920\n",
            "Epoch 1419/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.5323 - val_loss: 7.5752\n",
            "Epoch 1420/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.5593 - val_loss: 7.5595\n",
            "Epoch 1421/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4848 - val_loss: 7.5467\n",
            "Epoch 1422/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0799 - val_loss: 7.5512\n",
            "Epoch 1423/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0169 - val_loss: 7.5523\n",
            "Epoch 1424/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5488 - val_loss: 7.5810\n",
            "Epoch 1425/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.3173 - val_loss: 7.6167\n",
            "Epoch 1426/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.0911 - val_loss: 7.6186\n",
            "Epoch 1427/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.9704 - val_loss: 7.5976\n",
            "Epoch 1428/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0106 - val_loss: 7.5633\n",
            "Epoch 1429/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5644 - val_loss: 7.5466\n",
            "Epoch 1430/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.0352 - val_loss: 7.5278\n",
            "Epoch 1431/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3308 - val_loss: 7.5250\n",
            "Epoch 1432/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.9769 - val_loss: 7.5379\n",
            "Epoch 1433/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8377 - val_loss: 7.5481\n",
            "Epoch 1434/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.0990 - val_loss: 7.5560\n",
            "Epoch 1435/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0436 - val_loss: 7.5418\n",
            "Epoch 1436/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.1888 - val_loss: 7.5295\n",
            "Epoch 1437/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.6780 - val_loss: 7.5322\n",
            "Epoch 1438/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4461 - val_loss: 7.5385\n",
            "Epoch 1439/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.1517 - val_loss: 7.5591\n",
            "Epoch 1440/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1355 - val_loss: 7.5839\n",
            "Epoch 1441/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5050 - val_loss: 7.6044\n",
            "Epoch 1442/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0226 - val_loss: 7.6499\n",
            "Epoch 1443/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3436 - val_loss: 7.6635\n",
            "Epoch 1444/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.9720 - val_loss: 7.6322\n",
            "Epoch 1445/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4769 - val_loss: 7.6200\n",
            "Epoch 1446/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4087 - val_loss: 7.6028\n",
            "Epoch 1447/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.1269 - val_loss: 7.5998\n",
            "Epoch 1448/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7553 - val_loss: 7.6137\n",
            "Epoch 1449/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4585 - val_loss: 7.6255\n",
            "Epoch 1450/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9589 - val_loss: 7.6315\n",
            "Epoch 1451/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2014 - val_loss: 7.6082\n",
            "Epoch 1452/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3188 - val_loss: 7.5924\n",
            "Epoch 1453/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.5143 - val_loss: 7.5798\n",
            "Epoch 1454/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.1218 - val_loss: 7.5728\n",
            "Epoch 1455/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9684 - val_loss: 7.5886\n",
            "Epoch 1456/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2009 - val_loss: 7.5878\n",
            "Epoch 1457/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.5850 - val_loss: 7.5879\n",
            "Epoch 1458/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1331 - val_loss: 7.6104\n",
            "Epoch 1459/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.1889 - val_loss: 7.6321\n",
            "Epoch 1460/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3962 - val_loss: 7.6484\n",
            "Epoch 1461/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3439 - val_loss: 7.6744\n",
            "Epoch 1462/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1186 - val_loss: 7.6977\n",
            "Epoch 1463/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.8447 - val_loss: 7.7051\n",
            "Epoch 1464/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0534 - val_loss: 7.6968\n",
            "Epoch 1465/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1044 - val_loss: 7.6992\n",
            "Epoch 1466/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8653 - val_loss: 7.6813\n",
            "Epoch 1467/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7472 - val_loss: 7.6423\n",
            "Epoch 1468/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.9866 - val_loss: 7.5945\n",
            "Epoch 1469/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2469 - val_loss: 7.5463\n",
            "Epoch 1470/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0377 - val_loss: 7.5302\n",
            "Epoch 1471/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3674 - val_loss: 7.5255\n",
            "Epoch 1472/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4279 - val_loss: 7.5427\n",
            "Epoch 1473/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.2978 - val_loss: 7.5678\n",
            "Epoch 1474/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1742 - val_loss: 7.5960\n",
            "Epoch 1475/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2324 - val_loss: 7.6093\n",
            "Epoch 1476/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2791 - val_loss: 7.6125\n",
            "Epoch 1477/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.2470 - val_loss: 7.6269\n",
            "Epoch 1478/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.3396 - val_loss: 7.6335\n",
            "Epoch 1479/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7441 - val_loss: 7.6299\n",
            "Epoch 1480/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8331 - val_loss: 7.5954\n",
            "Epoch 1481/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4416 - val_loss: 7.5535\n",
            "Epoch 1482/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2624 - val_loss: 7.5158\n",
            "Epoch 1483/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.2980 - val_loss: 7.5142\n",
            "Epoch 1484/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1292 - val_loss: 7.5224\n",
            "Epoch 1485/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.2302 - val_loss: 7.5308\n",
            "Epoch 1486/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8338 - val_loss: 7.5292\n",
            "Epoch 1487/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.0470 - val_loss: 7.5487\n",
            "Epoch 1488/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.9191 - val_loss: 7.5831\n",
            "Epoch 1489/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.1143 - val_loss: 7.6003\n",
            "Epoch 1490/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9698 - val_loss: 7.6244\n",
            "Epoch 1491/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0674 - val_loss: 7.6492\n",
            "Epoch 1492/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.7589 - val_loss: 7.6441\n",
            "Epoch 1493/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.3884 - val_loss: 7.6493\n",
            "Epoch 1494/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.9996 - val_loss: 7.6405\n",
            "Epoch 1495/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.4363 - val_loss: 7.6271\n",
            "Epoch 1496/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.9942 - val_loss: 7.6435\n",
            "Epoch 1497/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0199 - val_loss: 7.6304\n",
            "Epoch 1498/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8771 - val_loss: 7.6303\n",
            "Epoch 1499/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.9631 - val_loss: 7.6356\n",
            "Epoch 1500/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2900 - val_loss: 7.6305\n",
            "Epoch 1501/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0869 - val_loss: 7.5978\n",
            "Epoch 1502/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.7369 - val_loss: 7.5807\n",
            "Epoch 1503/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7747 - val_loss: 7.5630\n",
            "Epoch 1504/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.1349 - val_loss: 7.5578\n",
            "Epoch 1505/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.2542 - val_loss: 7.5274\n",
            "Epoch 1506/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.4230 - val_loss: 7.4900\n",
            "Epoch 1507/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8062 - val_loss: 7.4647\n",
            "Epoch 1508/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4188 - val_loss: 7.4783\n",
            "Epoch 1509/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.1281 - val_loss: 7.5081\n",
            "Epoch 1510/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7542 - val_loss: 7.5632\n",
            "Epoch 1511/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.9786 - val_loss: 7.6171\n",
            "Epoch 1512/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.9237 - val_loss: 7.6395\n",
            "Epoch 1513/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0543 - val_loss: 7.6478\n",
            "Epoch 1514/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.0128 - val_loss: 7.6313\n",
            "Epoch 1515/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.0464 - val_loss: 7.6066\n",
            "Epoch 1516/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.9918 - val_loss: 7.6032\n",
            "Epoch 1517/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.1870 - val_loss: 7.6030\n",
            "Epoch 1518/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.0840 - val_loss: 7.6064\n",
            "Epoch 1519/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7595 - val_loss: 7.5917\n",
            "Epoch 1520/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.1334 - val_loss: 7.5592\n",
            "Epoch 1521/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.8561 - val_loss: 7.5328\n",
            "Epoch 1522/3000\n",
            "2/2 [==============================] - 0s 90ms/step - loss: 4.0879 - val_loss: 7.5317\n",
            "Epoch 1523/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8111 - val_loss: 7.5345\n",
            "Epoch 1524/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.1378 - val_loss: 7.5331\n",
            "Epoch 1525/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.1743 - val_loss: 7.5603\n",
            "Epoch 1526/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.3325 - val_loss: 7.5956\n",
            "Epoch 1527/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0813 - val_loss: 7.6183\n",
            "Epoch 1528/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0990 - val_loss: 7.6022\n",
            "Epoch 1529/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.4379 - val_loss: 7.5742\n",
            "Epoch 1530/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3146 - val_loss: 7.5498\n",
            "Epoch 1531/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.8127 - val_loss: 7.5428\n",
            "Epoch 1532/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0510 - val_loss: 7.5304\n",
            "Epoch 1533/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8203 - val_loss: 7.5169\n",
            "Epoch 1534/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.6991 - val_loss: 7.4741\n",
            "Epoch 1535/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8690 - val_loss: 7.4535\n",
            "Epoch 1536/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0046 - val_loss: 7.4393\n",
            "Epoch 1537/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.9572 - val_loss: 7.4503\n",
            "Epoch 1538/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.8842 - val_loss: 7.4745\n",
            "Epoch 1539/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0460 - val_loss: 7.5008\n",
            "Epoch 1540/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8088 - val_loss: 7.5415\n",
            "Epoch 1541/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.5813 - val_loss: 7.5722\n",
            "Epoch 1542/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8430 - val_loss: 7.5659\n",
            "Epoch 1543/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8228 - val_loss: 7.5705\n",
            "Epoch 1544/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9629 - val_loss: 7.5651\n",
            "Epoch 1545/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7237 - val_loss: 7.5407\n",
            "Epoch 1546/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3656 - val_loss: 7.5089\n",
            "Epoch 1547/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6209 - val_loss: 7.4974\n",
            "Epoch 1548/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5259 - val_loss: 7.4669\n",
            "Epoch 1549/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9919 - val_loss: 7.4450\n",
            "Epoch 1550/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.3363 - val_loss: 7.4438\n",
            "Epoch 1551/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.5934 - val_loss: 7.4612\n",
            "Epoch 1552/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8924 - val_loss: 7.4634\n",
            "Epoch 1553/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5426 - val_loss: 7.4527\n",
            "Epoch 1554/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0367 - val_loss: 7.4513\n",
            "Epoch 1555/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7064 - val_loss: 7.4896\n",
            "Epoch 1556/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9705 - val_loss: 7.5088\n",
            "Epoch 1557/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7879 - val_loss: 7.5291\n",
            "Epoch 1558/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.9892 - val_loss: 7.5498\n",
            "Epoch 1559/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8433 - val_loss: 7.5628\n",
            "Epoch 1560/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.0451 - val_loss: 7.5450\n",
            "Epoch 1561/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8978 - val_loss: 7.5047\n",
            "Epoch 1562/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.9085 - val_loss: 7.4548\n",
            "Epoch 1563/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7808 - val_loss: 7.4399\n",
            "Epoch 1564/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7075 - val_loss: 7.4450\n",
            "Epoch 1565/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6925 - val_loss: 7.4692\n",
            "Epoch 1566/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.9844 - val_loss: 7.4822\n",
            "Epoch 1567/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4971 - val_loss: 7.4895\n",
            "Epoch 1568/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1148 - val_loss: 7.5106\n",
            "Epoch 1569/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5935 - val_loss: 7.5168\n",
            "Epoch 1570/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.8700 - val_loss: 7.5043\n",
            "Epoch 1571/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 4.0762 - val_loss: 7.4892\n",
            "Epoch 1572/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5971 - val_loss: 7.4744\n",
            "Epoch 1573/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6606 - val_loss: 7.4891\n",
            "Epoch 1574/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.1053 - val_loss: 7.5092\n",
            "Epoch 1575/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8971 - val_loss: 7.5663\n",
            "Epoch 1576/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.7742 - val_loss: 7.5886\n",
            "Epoch 1577/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6167 - val_loss: 7.5783\n",
            "Epoch 1578/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7109 - val_loss: 7.5379\n",
            "Epoch 1579/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.0467 - val_loss: 7.5158\n",
            "Epoch 1580/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.0019 - val_loss: 7.5117\n",
            "Epoch 1581/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5600 - val_loss: 7.5089\n",
            "Epoch 1582/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8762 - val_loss: 7.5222\n",
            "Epoch 1583/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9709 - val_loss: 7.5216\n",
            "Epoch 1584/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6397 - val_loss: 7.4963\n",
            "Epoch 1585/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7805 - val_loss: 7.4861\n",
            "Epoch 1586/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.9229 - val_loss: 7.5027\n",
            "Epoch 1587/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7849 - val_loss: 7.5058\n",
            "Epoch 1588/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.9667 - val_loss: 7.4846\n",
            "Epoch 1589/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.8331 - val_loss: 7.5056\n",
            "Epoch 1590/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7875 - val_loss: 7.5310\n",
            "Epoch 1591/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0254 - val_loss: 7.5667\n",
            "Epoch 1592/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0142 - val_loss: 7.5903\n",
            "Epoch 1593/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8268 - val_loss: 7.5757\n",
            "Epoch 1594/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.7289 - val_loss: 7.5520\n",
            "Epoch 1595/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8054 - val_loss: 7.5340\n",
            "Epoch 1596/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8872 - val_loss: 7.5425\n",
            "Epoch 1597/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9330 - val_loss: 7.5480\n",
            "Epoch 1598/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.0238 - val_loss: 7.5788\n",
            "Epoch 1599/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.7198 - val_loss: 7.6215\n",
            "Epoch 1600/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9014 - val_loss: 7.6445\n",
            "Epoch 1601/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9951 - val_loss: 7.6297\n",
            "Epoch 1602/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.5912 - val_loss: 7.6075\n",
            "Epoch 1603/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6501 - val_loss: 7.6031\n",
            "Epoch 1604/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8445 - val_loss: 7.6132\n",
            "Epoch 1605/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9049 - val_loss: 7.6445\n",
            "Epoch 1606/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7900 - val_loss: 7.6816\n",
            "Epoch 1607/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.1262 - val_loss: 7.7022\n",
            "Epoch 1608/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5488 - val_loss: 7.6856\n",
            "Epoch 1609/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.7795 - val_loss: 7.6508\n",
            "Epoch 1610/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7136 - val_loss: 7.6354\n",
            "Epoch 1611/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8604 - val_loss: 7.6249\n",
            "Epoch 1612/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8332 - val_loss: 7.6546\n",
            "Epoch 1613/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6544 - val_loss: 7.6885\n",
            "Epoch 1614/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8216 - val_loss: 7.6945\n",
            "Epoch 1615/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5306 - val_loss: 7.6874\n",
            "Epoch 1616/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4476 - val_loss: 7.6686\n",
            "Epoch 1617/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6501 - val_loss: 7.6521\n",
            "Epoch 1618/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.9713 - val_loss: 7.6230\n",
            "Epoch 1619/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8060 - val_loss: 7.6144\n",
            "Epoch 1620/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.1473 - val_loss: 7.6271\n",
            "Epoch 1621/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8782 - val_loss: 7.6346\n",
            "Epoch 1622/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7106 - val_loss: 7.6245\n",
            "Epoch 1623/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.7173 - val_loss: 7.6148\n",
            "Epoch 1624/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.6603 - val_loss: 7.6003\n",
            "Epoch 1625/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8083 - val_loss: 7.6195\n",
            "Epoch 1626/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6490 - val_loss: 7.6262\n",
            "Epoch 1627/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6324 - val_loss: 7.6275\n",
            "Epoch 1628/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.8608 - val_loss: 7.6415\n",
            "Epoch 1629/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2709 - val_loss: 7.6561\n",
            "Epoch 1630/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.8023 - val_loss: 7.6578\n",
            "Epoch 1631/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8220 - val_loss: 7.6223\n",
            "Epoch 1632/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5762 - val_loss: 7.5940\n",
            "Epoch 1633/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8518 - val_loss: 7.5780\n",
            "Epoch 1634/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7739 - val_loss: 7.5848\n",
            "Epoch 1635/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8184 - val_loss: 7.5974\n",
            "Epoch 1636/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8463 - val_loss: 7.6223\n",
            "Epoch 1637/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7445 - val_loss: 7.6364\n",
            "Epoch 1638/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.7364 - val_loss: 7.6606\n",
            "Epoch 1639/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6319 - val_loss: 7.6689\n",
            "Epoch 1640/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5863 - val_loss: 7.6718\n",
            "Epoch 1641/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7475 - val_loss: 7.6425\n",
            "Epoch 1642/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 4.1115 - val_loss: 7.6104\n",
            "Epoch 1643/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5816 - val_loss: 7.5991\n",
            "Epoch 1644/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6223 - val_loss: 7.6129\n",
            "Epoch 1645/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5289 - val_loss: 7.6321\n",
            "Epoch 1646/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4323 - val_loss: 7.6359\n",
            "Epoch 1647/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3366 - val_loss: 7.6327\n",
            "Epoch 1648/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.5995 - val_loss: 7.6070\n",
            "Epoch 1649/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8776 - val_loss: 7.5739\n",
            "Epoch 1650/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.8499 - val_loss: 7.5491\n",
            "Epoch 1651/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7991 - val_loss: 7.5456\n",
            "Epoch 1652/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6501 - val_loss: 7.5595\n",
            "Epoch 1653/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6657 - val_loss: 7.6099\n",
            "Epoch 1654/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6648 - val_loss: 7.6482\n",
            "Epoch 1655/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7695 - val_loss: 7.6687\n",
            "Epoch 1656/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6167 - val_loss: 7.6762\n",
            "Epoch 1657/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.9390 - val_loss: 7.6785\n",
            "Epoch 1658/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7051 - val_loss: 7.6810\n",
            "Epoch 1659/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7662 - val_loss: 7.6817\n",
            "Epoch 1660/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.9443 - val_loss: 7.6711\n",
            "Epoch 1661/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7289 - val_loss: 7.6469\n",
            "Epoch 1662/3000\n",
            "2/2 [==============================] - 0s 22ms/step - loss: 3.4286 - val_loss: 7.6389\n",
            "Epoch 1663/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.7357 - val_loss: 7.6441\n",
            "Epoch 1664/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4354 - val_loss: 7.6386\n",
            "Epoch 1665/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7693 - val_loss: 7.6268\n",
            "Epoch 1666/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3187 - val_loss: 7.6249\n",
            "Epoch 1667/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.8040 - val_loss: 7.6136\n",
            "Epoch 1668/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6656 - val_loss: 7.6029\n",
            "Epoch 1669/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.5649 - val_loss: 7.5853\n",
            "Epoch 1670/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6756 - val_loss: 7.5751\n",
            "Epoch 1671/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8441 - val_loss: 7.5720\n",
            "Epoch 1672/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 4.0079 - val_loss: 7.5840\n",
            "Epoch 1673/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8492 - val_loss: 7.5928\n",
            "Epoch 1674/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5918 - val_loss: 7.6167\n",
            "Epoch 1675/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0937 - val_loss: 7.6209\n",
            "Epoch 1676/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.4701 - val_loss: 7.5943\n",
            "Epoch 1677/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3667 - val_loss: 7.5501\n",
            "Epoch 1678/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.8150 - val_loss: 7.5004\n",
            "Epoch 1679/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5697 - val_loss: 7.4746\n",
            "Epoch 1680/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3612 - val_loss: 7.4945\n",
            "Epoch 1681/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6618 - val_loss: 7.5253\n",
            "Epoch 1682/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.9437 - val_loss: 7.5531\n",
            "Epoch 1683/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3286 - val_loss: 7.5587\n",
            "Epoch 1684/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.1925 - val_loss: 7.5789\n",
            "Epoch 1685/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3144 - val_loss: 7.6176\n",
            "Epoch 1686/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.9905 - val_loss: 7.6695\n",
            "Epoch 1687/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7283 - val_loss: 7.6921\n",
            "Epoch 1688/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3650 - val_loss: 7.6680\n",
            "Epoch 1689/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7184 - val_loss: 7.6341\n",
            "Epoch 1690/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2036 - val_loss: 7.6153\n",
            "Epoch 1691/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6194 - val_loss: 7.6073\n",
            "Epoch 1692/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6411 - val_loss: 7.6165\n",
            "Epoch 1693/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8684 - val_loss: 7.6265\n",
            "Epoch 1694/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.6389 - val_loss: 7.6412\n",
            "Epoch 1695/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4470 - val_loss: 7.6341\n",
            "Epoch 1696/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.4651 - val_loss: 7.6477\n",
            "Epoch 1697/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3041 - val_loss: 7.6545\n",
            "Epoch 1698/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8245 - val_loss: 7.6565\n",
            "Epoch 1699/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5245 - val_loss: 7.6601\n",
            "Epoch 1700/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1390 - val_loss: 7.6649\n",
            "Epoch 1701/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5171 - val_loss: 7.6579\n",
            "Epoch 1702/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.3550 - val_loss: 7.6605\n",
            "Epoch 1703/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.8780 - val_loss: 7.6667\n",
            "Epoch 1704/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6965 - val_loss: 7.6604\n",
            "Epoch 1705/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 3.6458 - val_loss: 7.6483\n",
            "Epoch 1706/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.4197 - val_loss: 7.6330\n",
            "Epoch 1707/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.6685 - val_loss: 7.6260\n",
            "Epoch 1708/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6046 - val_loss: 7.6231\n",
            "Epoch 1709/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5449 - val_loss: 7.6451\n",
            "Epoch 1710/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4019 - val_loss: 7.6698\n",
            "Epoch 1711/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6691 - val_loss: 7.6693\n",
            "Epoch 1712/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.7764 - val_loss: 7.6621\n",
            "Epoch 1713/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5096 - val_loss: 7.6622\n",
            "Epoch 1714/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1184 - val_loss: 7.6492\n",
            "Epoch 1715/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.3824 - val_loss: 7.6297\n",
            "Epoch 1716/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7705 - val_loss: 7.6370\n",
            "Epoch 1717/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7851 - val_loss: 7.6667\n",
            "Epoch 1718/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4688 - val_loss: 7.7036\n",
            "Epoch 1719/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.4386 - val_loss: 7.7241\n",
            "Epoch 1720/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4103 - val_loss: 7.7285\n",
            "Epoch 1721/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4192 - val_loss: 7.7193\n",
            "Epoch 1722/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2893 - val_loss: 7.7196\n",
            "Epoch 1723/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5835 - val_loss: 7.7334\n",
            "Epoch 1724/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4470 - val_loss: 7.7464\n",
            "Epoch 1725/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.4921 - val_loss: 7.7306\n",
            "Epoch 1726/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8127 - val_loss: 7.7387\n",
            "Epoch 1727/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7744 - val_loss: 7.7293\n",
            "Epoch 1728/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4314 - val_loss: 7.7243\n",
            "Epoch 1729/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9979 - val_loss: 7.7305\n",
            "Epoch 1730/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.7807 - val_loss: 7.7421\n",
            "Epoch 1731/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3858 - val_loss: 7.7444\n",
            "Epoch 1732/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5964 - val_loss: 7.7224\n",
            "Epoch 1733/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.5346 - val_loss: 7.6880\n",
            "Epoch 1734/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4190 - val_loss: 7.6546\n",
            "Epoch 1735/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.7001 - val_loss: 7.6556\n",
            "Epoch 1736/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8319 - val_loss: 7.6839\n",
            "Epoch 1737/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2108 - val_loss: 7.7418\n",
            "Epoch 1738/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5810 - val_loss: 7.7860\n",
            "Epoch 1739/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.6827 - val_loss: 7.7951\n",
            "Epoch 1740/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6357 - val_loss: 7.7541\n",
            "Epoch 1741/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.6653 - val_loss: 7.7136\n",
            "Epoch 1742/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4162 - val_loss: 7.7087\n",
            "Epoch 1743/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3719 - val_loss: 7.7140\n",
            "Epoch 1744/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.3772 - val_loss: 7.7295\n",
            "Epoch 1745/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.4697 - val_loss: 7.7554\n",
            "Epoch 1746/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.5093 - val_loss: 7.7632\n",
            "Epoch 1747/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8704 - val_loss: 7.7637\n",
            "Epoch 1748/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.4786 - val_loss: 7.7707\n",
            "Epoch 1749/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3628 - val_loss: 7.7438\n",
            "Epoch 1750/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6093 - val_loss: 7.7199\n",
            "Epoch 1751/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1580 - val_loss: 7.7108\n",
            "Epoch 1752/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.2449 - val_loss: 7.7139\n",
            "Epoch 1753/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.4437 - val_loss: 7.7296\n",
            "Epoch 1754/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.5888 - val_loss: 7.7457\n",
            "Epoch 1755/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4163 - val_loss: 7.7652\n",
            "Epoch 1756/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8385 - val_loss: 7.7605\n",
            "Epoch 1757/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3613 - val_loss: 7.7568\n",
            "Epoch 1758/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5347 - val_loss: 7.7919\n",
            "Epoch 1759/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3728 - val_loss: 7.8182\n",
            "Epoch 1760/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5481 - val_loss: 7.8346\n",
            "Epoch 1761/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.8519 - val_loss: 7.8539\n",
            "Epoch 1762/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5797 - val_loss: 7.8751\n",
            "Epoch 1763/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7063 - val_loss: 7.9025\n",
            "Epoch 1764/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.6663 - val_loss: 7.9212\n",
            "Epoch 1765/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3986 - val_loss: 7.9212\n",
            "Epoch 1766/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.2475 - val_loss: 7.8858\n",
            "Epoch 1767/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5491 - val_loss: 7.8401\n",
            "Epoch 1768/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4115 - val_loss: 7.7893\n",
            "Epoch 1769/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1679 - val_loss: 7.7344\n",
            "Epoch 1770/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3044 - val_loss: 7.7013\n",
            "Epoch 1771/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.7347 - val_loss: 7.6746\n",
            "Epoch 1772/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6794 - val_loss: 7.6469\n",
            "Epoch 1773/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.4081 - val_loss: 7.6127\n",
            "Epoch 1774/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4364 - val_loss: 7.6004\n",
            "Epoch 1775/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3464 - val_loss: 7.6109\n",
            "Epoch 1776/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5048 - val_loss: 7.6299\n",
            "Epoch 1777/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2101 - val_loss: 7.6578\n",
            "Epoch 1778/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4535 - val_loss: 7.6861\n",
            "Epoch 1779/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3143 - val_loss: 7.6954\n",
            "Epoch 1780/3000\n",
            "2/2 [==============================] - 0s 22ms/step - loss: 3.2768 - val_loss: 7.6785\n",
            "Epoch 1781/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.3464 - val_loss: 7.6415\n",
            "Epoch 1782/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.5191 - val_loss: 7.6290\n",
            "Epoch 1783/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.6693 - val_loss: 7.6267\n",
            "Epoch 1784/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3980 - val_loss: 7.6364\n",
            "Epoch 1785/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5787 - val_loss: 7.6511\n",
            "Epoch 1786/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2533 - val_loss: 7.6731\n",
            "Epoch 1787/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4296 - val_loss: 7.6803\n",
            "Epoch 1788/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.1979 - val_loss: 7.6800\n",
            "Epoch 1789/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3948 - val_loss: 7.6889\n",
            "Epoch 1790/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5501 - val_loss: 7.7085\n",
            "Epoch 1791/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1499 - val_loss: 7.7192\n",
            "Epoch 1792/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5224 - val_loss: 7.7052\n",
            "Epoch 1793/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 3.4422 - val_loss: 7.6878\n",
            "Epoch 1794/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4120 - val_loss: 7.6712\n",
            "Epoch 1795/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5960 - val_loss: 7.6900\n",
            "Epoch 1796/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.2605 - val_loss: 7.7230\n",
            "Epoch 1797/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4676 - val_loss: 7.7606\n",
            "Epoch 1798/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3757 - val_loss: 7.7721\n",
            "Epoch 1799/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.2058 - val_loss: 7.7643\n",
            "Epoch 1800/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3442 - val_loss: 7.7498\n",
            "Epoch 1801/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2483 - val_loss: 7.7277\n",
            "Epoch 1802/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.2015 - val_loss: 7.7170\n",
            "Epoch 1803/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6222 - val_loss: 7.7281\n",
            "Epoch 1804/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4378 - val_loss: 7.7711\n",
            "Epoch 1805/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3577 - val_loss: 7.8142\n",
            "Epoch 1806/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2888 - val_loss: 7.8195\n",
            "Epoch 1807/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2737 - val_loss: 7.7949\n",
            "Epoch 1808/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4284 - val_loss: 7.7648\n",
            "Epoch 1809/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3725 - val_loss: 7.7576\n",
            "Epoch 1810/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.4375 - val_loss: 7.7676\n",
            "Epoch 1811/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1469 - val_loss: 7.7812\n",
            "Epoch 1812/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.2928 - val_loss: 7.7701\n",
            "Epoch 1813/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4889 - val_loss: 7.7220\n",
            "Epoch 1814/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4715 - val_loss: 7.6947\n",
            "Epoch 1815/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.1695 - val_loss: 7.6991\n",
            "Epoch 1816/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.2232 - val_loss: 7.7286\n",
            "Epoch 1817/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1626 - val_loss: 7.7665\n",
            "Epoch 1818/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5822 - val_loss: 7.7987\n",
            "Epoch 1819/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4143 - val_loss: 7.8204\n",
            "Epoch 1820/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3625 - val_loss: 7.8244\n",
            "Epoch 1821/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.4612 - val_loss: 7.8476\n",
            "Epoch 1822/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.1946 - val_loss: 7.8509\n",
            "Epoch 1823/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.3005 - val_loss: 7.8513\n",
            "Epoch 1824/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3749 - val_loss: 7.8607\n",
            "Epoch 1825/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4610 - val_loss: 7.8584\n",
            "Epoch 1826/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4525 - val_loss: 7.8356\n",
            "Epoch 1827/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4263 - val_loss: 7.8062\n",
            "Epoch 1828/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1141 - val_loss: 7.7665\n",
            "Epoch 1829/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2693 - val_loss: 7.6955\n",
            "Epoch 1830/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2332 - val_loss: 7.6496\n",
            "Epoch 1831/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.3835 - val_loss: 7.6289\n",
            "Epoch 1832/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4677 - val_loss: 7.6423\n",
            "Epoch 1833/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4709 - val_loss: 7.6663\n",
            "Epoch 1834/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3122 - val_loss: 7.6717\n",
            "Epoch 1835/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8037 - val_loss: 7.6713\n",
            "Epoch 1836/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4528 - val_loss: 7.6805\n",
            "Epoch 1837/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.6972 - val_loss: 7.7007\n",
            "Epoch 1838/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.4463 - val_loss: 7.7313\n",
            "Epoch 1839/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1654 - val_loss: 7.7418\n",
            "Epoch 1840/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.3839 - val_loss: 7.7461\n",
            "Epoch 1841/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1148 - val_loss: 7.7470\n",
            "Epoch 1842/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0829 - val_loss: 7.7361\n",
            "Epoch 1843/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.3993 - val_loss: 7.7216\n",
            "Epoch 1844/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1119 - val_loss: 7.7187\n",
            "Epoch 1845/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1923 - val_loss: 7.7394\n",
            "Epoch 1846/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1192 - val_loss: 7.7589\n",
            "Epoch 1847/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2484 - val_loss: 7.7454\n",
            "Epoch 1848/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1719 - val_loss: 7.7416\n",
            "Epoch 1849/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.0161 - val_loss: 7.7458\n",
            "Epoch 1850/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1248 - val_loss: 7.7337\n",
            "Epoch 1851/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.4067 - val_loss: 7.7333\n",
            "Epoch 1852/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1678 - val_loss: 7.7753\n",
            "Epoch 1853/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.8338 - val_loss: 7.8125\n",
            "Epoch 1854/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5656 - val_loss: 7.8059\n",
            "Epoch 1855/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4748 - val_loss: 7.7653\n",
            "Epoch 1856/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1349 - val_loss: 7.7327\n",
            "Epoch 1857/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4055 - val_loss: 7.7177\n",
            "Epoch 1858/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4751 - val_loss: 7.7218\n",
            "Epoch 1859/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1087 - val_loss: 7.7491\n",
            "Epoch 1860/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.3390 - val_loss: 7.8012\n",
            "Epoch 1861/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3973 - val_loss: 7.8785\n",
            "Epoch 1862/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3675 - val_loss: 7.9071\n",
            "Epoch 1863/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4413 - val_loss: 7.8795\n",
            "Epoch 1864/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.7514 - val_loss: 7.8602\n",
            "Epoch 1865/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3148 - val_loss: 7.8698\n",
            "Epoch 1866/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1197 - val_loss: 7.8812\n",
            "Epoch 1867/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.2110 - val_loss: 7.8885\n",
            "Epoch 1868/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4914 - val_loss: 7.9103\n",
            "Epoch 1869/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3037 - val_loss: 7.9189\n",
            "Epoch 1870/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.2524 - val_loss: 7.8685\n",
            "Epoch 1871/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.4252 - val_loss: 7.7704\n",
            "Epoch 1872/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0850 - val_loss: 7.7049\n",
            "Epoch 1873/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1685 - val_loss: 7.6720\n",
            "Epoch 1874/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3108 - val_loss: 7.6530\n",
            "Epoch 1875/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.3314 - val_loss: 7.6496\n",
            "Epoch 1876/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.4731 - val_loss: 7.6648\n",
            "Epoch 1877/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2204 - val_loss: 7.6859\n",
            "Epoch 1878/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4375 - val_loss: 7.7064\n",
            "Epoch 1879/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1671 - val_loss: 7.7177\n",
            "Epoch 1880/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.9986 - val_loss: 7.7116\n",
            "Epoch 1881/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2521 - val_loss: 7.7278\n",
            "Epoch 1882/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3894 - val_loss: 7.7557\n",
            "Epoch 1883/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3347 - val_loss: 7.8032\n",
            "Epoch 1884/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.8916 - val_loss: 7.8518\n",
            "Epoch 1885/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2280 - val_loss: 7.8838\n",
            "Epoch 1886/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1498 - val_loss: 7.9025\n",
            "Epoch 1887/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1996 - val_loss: 7.9017\n",
            "Epoch 1888/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3827 - val_loss: 7.9047\n",
            "Epoch 1889/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.0627 - val_loss: 7.8936\n",
            "Epoch 1890/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3529 - val_loss: 7.8904\n",
            "Epoch 1891/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1004 - val_loss: 7.8876\n",
            "Epoch 1892/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3479 - val_loss: 7.8892\n",
            "Epoch 1893/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2416 - val_loss: 7.8970\n",
            "Epoch 1894/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9702 - val_loss: 7.9092\n",
            "Epoch 1895/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9698 - val_loss: 7.9197\n",
            "Epoch 1896/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9535 - val_loss: 7.8906\n",
            "Epoch 1897/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3489 - val_loss: 7.8529\n",
            "Epoch 1898/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3095 - val_loss: 7.8253\n",
            "Epoch 1899/3000\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 3.2413 - val_loss: 7.8082\n",
            "Epoch 1900/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1617 - val_loss: 7.7899\n",
            "Epoch 1901/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.5430 - val_loss: 7.7797\n",
            "Epoch 1902/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3087 - val_loss: 7.7856\n",
            "Epoch 1903/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4953 - val_loss: 7.7913\n",
            "Epoch 1904/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0775 - val_loss: 7.7980\n",
            "Epoch 1905/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9392 - val_loss: 7.7992\n",
            "Epoch 1906/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2528 - val_loss: 7.7992\n",
            "Epoch 1907/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9904 - val_loss: 7.7823\n",
            "Epoch 1908/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8291 - val_loss: 7.7661\n",
            "Epoch 1909/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.4154 - val_loss: 7.7427\n",
            "Epoch 1910/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.5157 - val_loss: 7.7414\n",
            "Epoch 1911/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2455 - val_loss: 7.7658\n",
            "Epoch 1912/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2170 - val_loss: 7.7802\n",
            "Epoch 1913/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0729 - val_loss: 7.7997\n",
            "Epoch 1914/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.0915 - val_loss: 7.7872\n",
            "Epoch 1915/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2995 - val_loss: 7.8021\n",
            "Epoch 1916/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.9593 - val_loss: 7.8418\n",
            "Epoch 1917/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1832 - val_loss: 7.8989\n",
            "Epoch 1918/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.6203 - val_loss: 7.9462\n",
            "Epoch 1919/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4785 - val_loss: 7.9850\n",
            "Epoch 1920/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2982 - val_loss: 7.9729\n",
            "Epoch 1921/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1702 - val_loss: 7.9137\n",
            "Epoch 1922/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9322 - val_loss: 7.8870\n",
            "Epoch 1923/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2598 - val_loss: 7.8508\n",
            "Epoch 1924/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1641 - val_loss: 7.8408\n",
            "Epoch 1925/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1835 - val_loss: 7.8575\n",
            "Epoch 1926/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2495 - val_loss: 7.8439\n",
            "Epoch 1927/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.1542 - val_loss: 7.8133\n",
            "Epoch 1928/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1746 - val_loss: 7.7753\n",
            "Epoch 1929/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4496 - val_loss: 7.7615\n",
            "Epoch 1930/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.6199 - val_loss: 7.7839\n",
            "Epoch 1931/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.4478 - val_loss: 7.8035\n",
            "Epoch 1932/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0019 - val_loss: 7.8047\n",
            "Epoch 1933/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4953 - val_loss: 7.8076\n",
            "Epoch 1934/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1466 - val_loss: 7.7684\n",
            "Epoch 1935/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3187 - val_loss: 7.7293\n",
            "Epoch 1936/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1567 - val_loss: 7.7069\n",
            "Epoch 1937/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.2208 - val_loss: 7.7091\n",
            "Epoch 1938/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 3.4266 - val_loss: 7.7199\n",
            "Epoch 1939/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9842 - val_loss: 7.7193\n",
            "Epoch 1940/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.1757 - val_loss: 7.7219\n",
            "Epoch 1941/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.1670 - val_loss: 7.7338\n",
            "Epoch 1942/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9743 - val_loss: 7.7280\n",
            "Epoch 1943/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1174 - val_loss: 7.7367\n",
            "Epoch 1944/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2830 - val_loss: 7.7585\n",
            "Epoch 1945/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.4717 - val_loss: 7.7516\n",
            "Epoch 1946/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.9562 - val_loss: 7.7454\n",
            "Epoch 1947/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3700 - val_loss: 7.7388\n",
            "Epoch 1948/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.2200 - val_loss: 7.7454\n",
            "Epoch 1949/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0717 - val_loss: 7.7258\n",
            "Epoch 1950/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0400 - val_loss: 7.7213\n",
            "Epoch 1951/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9479 - val_loss: 7.7249\n",
            "Epoch 1952/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3689 - val_loss: 7.7261\n",
            "Epoch 1953/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.1585 - val_loss: 7.7283\n",
            "Epoch 1954/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.4682 - val_loss: 7.7434\n",
            "Epoch 1955/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3313 - val_loss: 7.7373\n",
            "Epoch 1956/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0126 - val_loss: 7.7398\n",
            "Epoch 1957/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.1613 - val_loss: 7.7705\n",
            "Epoch 1958/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.7379 - val_loss: 7.7860\n",
            "Epoch 1959/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.2969 - val_loss: 7.7558\n",
            "Epoch 1960/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1589 - val_loss: 7.7429\n",
            "Epoch 1961/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2958 - val_loss: 7.7552\n",
            "Epoch 1962/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0142 - val_loss: 7.7569\n",
            "Epoch 1963/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1944 - val_loss: 7.7376\n",
            "Epoch 1964/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2517 - val_loss: 7.7332\n",
            "Epoch 1965/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2764 - val_loss: 7.7345\n",
            "Epoch 1966/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3280 - val_loss: 7.7341\n",
            "Epoch 1967/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.0844 - val_loss: 7.7383\n",
            "Epoch 1968/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2451 - val_loss: 7.7422\n",
            "Epoch 1969/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.3187 - val_loss: 7.7522\n",
            "Epoch 1970/3000\n",
            "2/2 [==============================] - 0s 22ms/step - loss: 2.9762 - val_loss: 7.7433\n",
            "Epoch 1971/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.2754 - val_loss: 7.7313\n",
            "Epoch 1972/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.7977 - val_loss: 7.7245\n",
            "Epoch 1973/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7552 - val_loss: 7.7166\n",
            "Epoch 1974/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2880 - val_loss: 7.7281\n",
            "Epoch 1975/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3287 - val_loss: 7.7285\n",
            "Epoch 1976/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8987 - val_loss: 7.7374\n",
            "Epoch 1977/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.0002 - val_loss: 7.7262\n",
            "Epoch 1978/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8306 - val_loss: 7.7197\n",
            "Epoch 1979/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7703 - val_loss: 7.7280\n",
            "Epoch 1980/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3168 - val_loss: 7.7469\n",
            "Epoch 1981/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 3.1231 - val_loss: 7.7575\n",
            "Epoch 1982/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0267 - val_loss: 7.7534\n",
            "Epoch 1983/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2185 - val_loss: 7.7422\n",
            "Epoch 1984/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9028 - val_loss: 7.7434\n",
            "Epoch 1985/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.0571 - val_loss: 7.7396\n",
            "Epoch 1986/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0898 - val_loss: 7.7129\n",
            "Epoch 1987/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1832 - val_loss: 7.6986\n",
            "Epoch 1988/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0240 - val_loss: 7.6880\n",
            "Epoch 1989/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8415 - val_loss: 7.6907\n",
            "Epoch 1990/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2204 - val_loss: 7.6775\n",
            "Epoch 1991/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0858 - val_loss: 7.6625\n",
            "Epoch 1992/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0909 - val_loss: 7.6670\n",
            "Epoch 1993/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0359 - val_loss: 7.6822\n",
            "Epoch 1994/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0332 - val_loss: 7.6955\n",
            "Epoch 1995/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9704 - val_loss: 7.7233\n",
            "Epoch 1996/3000\n",
            "2/2 [==============================] - 0s 24ms/step - loss: 2.8954 - val_loss: 7.7293\n",
            "Epoch 1997/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1599 - val_loss: 7.7301\n",
            "Epoch 1998/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1392 - val_loss: 7.7422\n",
            "Epoch 1999/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2602 - val_loss: 7.7367\n",
            "Epoch 2000/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2516 - val_loss: 7.7081\n",
            "Epoch 2001/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9840 - val_loss: 7.6843\n",
            "Epoch 2002/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1433 - val_loss: 7.6555\n",
            "Epoch 2003/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1286 - val_loss: 7.6420\n",
            "Epoch 2004/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9965 - val_loss: 7.6216\n",
            "Epoch 2005/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0801 - val_loss: 7.6146\n",
            "Epoch 2006/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.9572 - val_loss: 7.6018\n",
            "Epoch 2007/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9497 - val_loss: 7.6118\n",
            "Epoch 2008/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1843 - val_loss: 7.6013\n",
            "Epoch 2009/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.3090 - val_loss: 7.5843\n",
            "Epoch 2010/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1494 - val_loss: 7.5901\n",
            "Epoch 2011/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1382 - val_loss: 7.6167\n",
            "Epoch 2012/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0745 - val_loss: 7.6857\n",
            "Epoch 2013/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.9858 - val_loss: 7.7572\n",
            "Epoch 2014/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9214 - val_loss: 7.7784\n",
            "Epoch 2015/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1039 - val_loss: 7.7603\n",
            "Epoch 2016/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9534 - val_loss: 7.7183\n",
            "Epoch 2017/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2576 - val_loss: 7.6826\n",
            "Epoch 2018/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8061 - val_loss: 7.6806\n",
            "Epoch 2019/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2645 - val_loss: 7.6863\n",
            "Epoch 2020/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9549 - val_loss: 7.6993\n",
            "Epoch 2021/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0947 - val_loss: 7.7368\n",
            "Epoch 2022/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0480 - val_loss: 7.7582\n",
            "Epoch 2023/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8341 - val_loss: 7.7463\n",
            "Epoch 2024/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1044 - val_loss: 7.7526\n",
            "Epoch 2025/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 3.1173 - val_loss: 7.7599\n",
            "Epoch 2026/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1201 - val_loss: 7.7537\n",
            "Epoch 2027/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9890 - val_loss: 7.7540\n",
            "Epoch 2028/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3867 - val_loss: 7.7634\n",
            "Epoch 2029/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9706 - val_loss: 7.7803\n",
            "Epoch 2030/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1016 - val_loss: 7.7461\n",
            "Epoch 2031/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8858 - val_loss: 7.6792\n",
            "Epoch 2032/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0790 - val_loss: 7.6679\n",
            "Epoch 2033/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.7771 - val_loss: 7.6642\n",
            "Epoch 2034/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0747 - val_loss: 7.6709\n",
            "Epoch 2035/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 2.7700 - val_loss: 7.6770\n",
            "Epoch 2036/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7575 - val_loss: 7.7032\n",
            "Epoch 2037/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1338 - val_loss: 7.7020\n",
            "Epoch 2038/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.9766 - val_loss: 7.6725\n",
            "Epoch 2039/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1787 - val_loss: 7.6426\n",
            "Epoch 2040/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.0091 - val_loss: 7.6218\n",
            "Epoch 2041/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7603 - val_loss: 7.6097\n",
            "Epoch 2042/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1107 - val_loss: 7.6106\n",
            "Epoch 2043/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9540 - val_loss: 7.6206\n",
            "Epoch 2044/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.2984 - val_loss: 7.6108\n",
            "Epoch 2045/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.4853 - val_loss: 7.6087\n",
            "Epoch 2046/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0604 - val_loss: 7.6166\n",
            "Epoch 2047/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.3513 - val_loss: 7.6169\n",
            "Epoch 2048/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8647 - val_loss: 7.6316\n",
            "Epoch 2049/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0743 - val_loss: 7.6377\n",
            "Epoch 2050/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2530 - val_loss: 7.6445\n",
            "Epoch 2051/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8344 - val_loss: 7.6560\n",
            "Epoch 2052/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.2595 - val_loss: 7.6603\n",
            "Epoch 2053/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7455 - val_loss: 7.6793\n",
            "Epoch 2054/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 2.6957 - val_loss: 7.6725\n",
            "Epoch 2055/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.1719 - val_loss: 7.6434\n",
            "Epoch 2056/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.2352 - val_loss: 7.6329\n",
            "Epoch 2057/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7185 - val_loss: 7.6331\n",
            "Epoch 2058/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2500 - val_loss: 7.6332\n",
            "Epoch 2059/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8304 - val_loss: 7.6224\n",
            "Epoch 2060/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9878 - val_loss: 7.5906\n",
            "Epoch 2061/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1758 - val_loss: 7.5855\n",
            "Epoch 2062/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0478 - val_loss: 7.6174\n",
            "Epoch 2063/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0702 - val_loss: 7.6642\n",
            "Epoch 2064/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1853 - val_loss: 7.6934\n",
            "Epoch 2065/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.9829 - val_loss: 7.7016\n",
            "Epoch 2066/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6137 - val_loss: 7.6952\n",
            "Epoch 2067/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9167 - val_loss: 7.6599\n",
            "Epoch 2068/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.9706 - val_loss: 7.6616\n",
            "Epoch 2069/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 3.0597 - val_loss: 7.6830\n",
            "Epoch 2070/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7903 - val_loss: 7.7183\n",
            "Epoch 2071/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9457 - val_loss: 7.7417\n",
            "Epoch 2072/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9883 - val_loss: 7.7500\n",
            "Epoch 2073/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.8346 - val_loss: 7.7363\n",
            "Epoch 2074/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8022 - val_loss: 7.6739\n",
            "Epoch 2075/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7178 - val_loss: 7.6346\n",
            "Epoch 2076/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8663 - val_loss: 7.6236\n",
            "Epoch 2077/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8989 - val_loss: 7.6402\n",
            "Epoch 2078/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9600 - val_loss: 7.6539\n",
            "Epoch 2079/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9580 - val_loss: 7.6680\n",
            "Epoch 2080/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9482 - val_loss: 7.7018\n",
            "Epoch 2081/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1568 - val_loss: 7.7269\n",
            "Epoch 2082/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0023 - val_loss: 7.7652\n",
            "Epoch 2083/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1035 - val_loss: 7.8053\n",
            "Epoch 2084/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1321 - val_loss: 7.8487\n",
            "Epoch 2085/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5264 - val_loss: 7.8849\n",
            "Epoch 2086/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8198 - val_loss: 7.9104\n",
            "Epoch 2087/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1140 - val_loss: 7.9009\n",
            "Epoch 2088/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8584 - val_loss: 7.8942\n",
            "Epoch 2089/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7608 - val_loss: 7.8613\n",
            "Epoch 2090/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 2.8968 - val_loss: 7.7934\n",
            "Epoch 2091/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7497 - val_loss: 7.7261\n",
            "Epoch 2092/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8671 - val_loss: 7.6705\n",
            "Epoch 2093/3000\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 3.1372 - val_loss: 7.6416\n",
            "Epoch 2094/3000\n",
            "2/2 [==============================] - 0s 89ms/step - loss: 2.8412 - val_loss: 7.6639\n",
            "Epoch 2095/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.3069 - val_loss: 7.6588\n",
            "Epoch 2096/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0544 - val_loss: 7.6039\n",
            "Epoch 2097/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.0086 - val_loss: 7.5281\n",
            "Epoch 2098/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2160 - val_loss: 7.5122\n",
            "Epoch 2099/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.7746 - val_loss: 7.5218\n",
            "Epoch 2100/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9700 - val_loss: 7.5576\n",
            "Epoch 2101/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1237 - val_loss: 7.6231\n",
            "Epoch 2102/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7243 - val_loss: 7.6393\n",
            "Epoch 2103/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.0489 - val_loss: 7.6003\n",
            "Epoch 2104/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0074 - val_loss: 7.5378\n",
            "Epoch 2105/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9762 - val_loss: 7.4918\n",
            "Epoch 2106/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8805 - val_loss: 7.4900\n",
            "Epoch 2107/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.7725 - val_loss: 7.4939\n",
            "Epoch 2108/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7817 - val_loss: 7.4918\n",
            "Epoch 2109/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7621 - val_loss: 7.5075\n",
            "Epoch 2110/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8227 - val_loss: 7.5045\n",
            "Epoch 2111/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9488 - val_loss: 7.5155\n",
            "Epoch 2112/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.8362 - val_loss: 7.5178\n",
            "Epoch 2113/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8155 - val_loss: 7.5314\n",
            "Epoch 2114/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.1956 - val_loss: 7.5403\n",
            "Epoch 2115/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5412 - val_loss: 7.5602\n",
            "Epoch 2116/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0743 - val_loss: 7.5968\n",
            "Epoch 2117/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.9495 - val_loss: 7.6209\n",
            "Epoch 2118/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9191 - val_loss: 7.6259\n",
            "Epoch 2119/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6154 - val_loss: 7.5995\n",
            "Epoch 2120/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7524 - val_loss: 7.5690\n",
            "Epoch 2121/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0375 - val_loss: 7.5673\n",
            "Epoch 2122/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.6555 - val_loss: 7.5595\n",
            "Epoch 2123/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8756 - val_loss: 7.5495\n",
            "Epoch 2124/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9283 - val_loss: 7.5162\n",
            "Epoch 2125/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8736 - val_loss: 7.5146\n",
            "Epoch 2126/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7779 - val_loss: 7.5240\n",
            "Epoch 2127/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9343 - val_loss: 7.5317\n",
            "Epoch 2128/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6516 - val_loss: 7.5377\n",
            "Epoch 2129/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6308 - val_loss: 7.5222\n",
            "Epoch 2130/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5978 - val_loss: 7.4909\n",
            "Epoch 2131/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7986 - val_loss: 7.4659\n",
            "Epoch 2132/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.8457 - val_loss: 7.4308\n",
            "Epoch 2133/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7483 - val_loss: 7.4127\n",
            "Epoch 2134/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8781 - val_loss: 7.4155\n",
            "Epoch 2135/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8483 - val_loss: 7.4471\n",
            "Epoch 2136/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8717 - val_loss: 7.4965\n",
            "Epoch 2137/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8552 - val_loss: 7.5493\n",
            "Epoch 2138/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9705 - val_loss: 7.5732\n",
            "Epoch 2139/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6608 - val_loss: 7.5827\n",
            "Epoch 2140/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8721 - val_loss: 7.5768\n",
            "Epoch 2141/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.4261 - val_loss: 7.5678\n",
            "Epoch 2142/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5132 - val_loss: 7.5511\n",
            "Epoch 2143/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0436 - val_loss: 7.5490\n",
            "Epoch 2144/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4704 - val_loss: 7.5697\n",
            "Epoch 2145/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 3.3257 - val_loss: 7.5652\n",
            "Epoch 2146/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.8848 - val_loss: 7.5635\n",
            "Epoch 2147/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8623 - val_loss: 7.5786\n",
            "Epoch 2148/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.5664 - val_loss: 7.6068\n",
            "Epoch 2149/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7981 - val_loss: 7.6259\n",
            "Epoch 2150/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9485 - val_loss: 7.6422\n",
            "Epoch 2151/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.0618 - val_loss: 7.6542\n",
            "Epoch 2152/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8434 - val_loss: 7.6427\n",
            "Epoch 2153/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.8466 - val_loss: 7.6328\n",
            "Epoch 2154/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0219 - val_loss: 7.6322\n",
            "Epoch 2155/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6615 - val_loss: 7.6283\n",
            "Epoch 2156/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7499 - val_loss: 7.6100\n",
            "Epoch 2157/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9031 - val_loss: 7.5996\n",
            "Epoch 2158/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8253 - val_loss: 7.6114\n",
            "Epoch 2159/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7259 - val_loss: 7.6259\n",
            "Epoch 2160/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.8760 - val_loss: 7.6409\n",
            "Epoch 2161/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.5748 - val_loss: 7.6280\n",
            "Epoch 2162/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8524 - val_loss: 7.6242\n",
            "Epoch 2163/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.7856 - val_loss: 7.6404\n",
            "Epoch 2164/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.8575 - val_loss: 7.6724\n",
            "Epoch 2165/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7210 - val_loss: 7.6781\n",
            "Epoch 2166/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8997 - val_loss: 7.6543\n",
            "Epoch 2167/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8980 - val_loss: 7.6347\n",
            "Epoch 2168/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2191 - val_loss: 7.6213\n",
            "Epoch 2169/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9953 - val_loss: 7.6112\n",
            "Epoch 2170/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9482 - val_loss: 7.5934\n",
            "Epoch 2171/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.8514 - val_loss: 7.5962\n",
            "Epoch 2172/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6361 - val_loss: 7.6077\n",
            "Epoch 2173/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5837 - val_loss: 7.6139\n",
            "Epoch 2174/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 3.1067 - val_loss: 7.6281\n",
            "Epoch 2175/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7118 - val_loss: 7.6666\n",
            "Epoch 2176/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.8625 - val_loss: 7.6937\n",
            "Epoch 2177/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6325 - val_loss: 7.6919\n",
            "Epoch 2178/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0506 - val_loss: 7.6842\n",
            "Epoch 2179/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9426 - val_loss: 7.6837\n",
            "Epoch 2180/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.8400 - val_loss: 7.6697\n",
            "Epoch 2181/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8822 - val_loss: 7.6592\n",
            "Epoch 2182/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9446 - val_loss: 7.6575\n",
            "Epoch 2183/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8936 - val_loss: 7.6510\n",
            "Epoch 2184/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8680 - val_loss: 7.6092\n",
            "Epoch 2185/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8860 - val_loss: 7.5248\n",
            "Epoch 2186/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9618 - val_loss: 7.4686\n",
            "Epoch 2187/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7828 - val_loss: 7.4494\n",
            "Epoch 2188/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1286 - val_loss: 7.4508\n",
            "Epoch 2189/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8117 - val_loss: 7.4904\n",
            "Epoch 2190/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5202 - val_loss: 7.5234\n",
            "Epoch 2191/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9948 - val_loss: 7.5352\n",
            "Epoch 2192/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9955 - val_loss: 7.5267\n",
            "Epoch 2193/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8702 - val_loss: 7.5220\n",
            "Epoch 2194/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5569 - val_loss: 7.5217\n",
            "Epoch 2195/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5715 - val_loss: 7.5430\n",
            "Epoch 2196/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6628 - val_loss: 7.5387\n",
            "Epoch 2197/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9069 - val_loss: 7.5418\n",
            "Epoch 2198/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7321 - val_loss: 7.5464\n",
            "Epoch 2199/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.9864 - val_loss: 7.5828\n",
            "Epoch 2200/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5709 - val_loss: 7.6286\n",
            "Epoch 2201/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7498 - val_loss: 7.6205\n",
            "Epoch 2202/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5214 - val_loss: 7.5845\n",
            "Epoch 2203/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5913 - val_loss: 7.5329\n",
            "Epoch 2204/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.8908 - val_loss: 7.5149\n",
            "Epoch 2205/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8875 - val_loss: 7.5218\n",
            "Epoch 2206/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7029 - val_loss: 7.5380\n",
            "Epoch 2207/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8621 - val_loss: 7.5570\n",
            "Epoch 2208/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9474 - val_loss: 7.5717\n",
            "Epoch 2209/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.6725 - val_loss: 7.5781\n",
            "Epoch 2210/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8287 - val_loss: 7.5663\n",
            "Epoch 2211/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7425 - val_loss: 7.5930\n",
            "Epoch 2212/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.9541 - val_loss: 7.6119\n",
            "Epoch 2213/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7412 - val_loss: 7.6415\n",
            "Epoch 2214/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8476 - val_loss: 7.6665\n",
            "Epoch 2215/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4507 - val_loss: 7.6846\n",
            "Epoch 2216/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9148 - val_loss: 7.6792\n",
            "Epoch 2217/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6260 - val_loss: 7.6548\n",
            "Epoch 2218/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7188 - val_loss: 7.6204\n",
            "Epoch 2219/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.9645 - val_loss: 7.5973\n",
            "Epoch 2220/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7824 - val_loss: 7.5818\n",
            "Epoch 2221/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9007 - val_loss: 7.5693\n",
            "Epoch 2222/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7549 - val_loss: 7.5837\n",
            "Epoch 2223/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0380 - val_loss: 7.6119\n",
            "Epoch 2224/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6703 - val_loss: 7.6436\n",
            "Epoch 2225/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7165 - val_loss: 7.6197\n",
            "Epoch 2226/3000\n",
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            "Epoch 2227/3000\n",
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            "Epoch 2228/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.7973 - val_loss: 7.5197\n",
            "Epoch 2229/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7537 - val_loss: 7.5266\n",
            "Epoch 2230/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5305 - val_loss: 7.5114\n",
            "Epoch 2231/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 2.7884 - val_loss: 7.4633\n",
            "Epoch 2232/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5370 - val_loss: 7.4063\n",
            "Epoch 2233/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7357 - val_loss: 7.3922\n",
            "Epoch 2234/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7516 - val_loss: 7.3872\n",
            "Epoch 2235/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6373 - val_loss: 7.4038\n",
            "Epoch 2236/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5637 - val_loss: 7.4475\n",
            "Epoch 2237/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.2142 - val_loss: 7.4926\n",
            "Epoch 2238/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.7672 - val_loss: 7.5192\n",
            "Epoch 2239/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6237 - val_loss: 7.5181\n",
            "Epoch 2240/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5361 - val_loss: 7.4991\n",
            "Epoch 2241/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4977 - val_loss: 7.4841\n",
            "Epoch 2242/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5895 - val_loss: 7.4723\n",
            "Epoch 2243/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.7162 - val_loss: 7.4732\n",
            "Epoch 2244/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.6749 - val_loss: 7.4687\n",
            "Epoch 2245/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6240 - val_loss: 7.5009\n",
            "Epoch 2246/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6635 - val_loss: 7.5413\n",
            "Epoch 2247/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4817 - val_loss: 7.5930\n",
            "Epoch 2248/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.8199 - val_loss: 7.6302\n",
            "Epoch 2249/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3674 - val_loss: 7.6400\n",
            "Epoch 2250/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3481 - val_loss: 7.6133\n",
            "Epoch 2251/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6340 - val_loss: 7.6072\n",
            "Epoch 2252/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6832 - val_loss: 7.5925\n",
            "Epoch 2253/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5320 - val_loss: 7.5847\n",
            "Epoch 2254/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.6354 - val_loss: 7.5855\n",
            "Epoch 2255/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7635 - val_loss: 7.5703\n",
            "Epoch 2256/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8961 - val_loss: 7.5633\n",
            "Epoch 2257/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.6723 - val_loss: 7.5767\n",
            "Epoch 2258/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.7499 - val_loss: 7.5889\n",
            "Epoch 2259/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7375 - val_loss: 7.6146\n",
            "Epoch 2260/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.4791 - val_loss: 7.6269\n",
            "Epoch 2261/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5956 - val_loss: 7.5949\n",
            "Epoch 2262/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9433 - val_loss: 7.5433\n",
            "Epoch 2263/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6175 - val_loss: 7.4901\n",
            "Epoch 2264/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7057 - val_loss: 7.4556\n",
            "Epoch 2265/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.9879 - val_loss: 7.4718\n",
            "Epoch 2266/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3590 - val_loss: 7.5024\n",
            "Epoch 2267/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5683 - val_loss: 7.5504\n",
            "Epoch 2268/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7827 - val_loss: 7.5869\n",
            "Epoch 2269/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8167 - val_loss: 7.6082\n",
            "Epoch 2270/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6892 - val_loss: 7.6224\n",
            "Epoch 2271/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3581 - val_loss: 7.6223\n",
            "Epoch 2272/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4204 - val_loss: 7.6192\n",
            "Epoch 2273/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4753 - val_loss: 7.6214\n",
            "Epoch 2274/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 3.0948 - val_loss: 7.6305\n",
            "Epoch 2275/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5281 - val_loss: 7.6673\n",
            "Epoch 2276/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9231 - val_loss: 7.6978\n",
            "Epoch 2277/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.9071 - val_loss: 7.7002\n",
            "Epoch 2278/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3410 - val_loss: 7.6757\n",
            "Epoch 2279/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7648 - val_loss: 7.6450\n",
            "Epoch 2280/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3902 - val_loss: 7.6182\n",
            "Epoch 2281/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9390 - val_loss: 7.5857\n",
            "Epoch 2282/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6202 - val_loss: 7.5809\n",
            "Epoch 2283/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9698 - val_loss: 7.5811\n",
            "Epoch 2284/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4866 - val_loss: 7.5918\n",
            "Epoch 2285/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7404 - val_loss: 7.6064\n",
            "Epoch 2286/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.3381 - val_loss: 7.6166\n",
            "Epoch 2287/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5950 - val_loss: 7.6429\n",
            "Epoch 2288/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4735 - val_loss: 7.6758\n",
            "Epoch 2289/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7109 - val_loss: 7.6829\n",
            "Epoch 2290/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5647 - val_loss: 7.6887\n",
            "Epoch 2291/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5976 - val_loss: 7.6843\n",
            "Epoch 2292/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5883 - val_loss: 7.6790\n",
            "Epoch 2293/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8153 - val_loss: 7.6763\n",
            "Epoch 2294/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5885 - val_loss: 7.6906\n",
            "Epoch 2295/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6791 - val_loss: 7.7031\n",
            "Epoch 2296/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.8768 - val_loss: 7.6785\n",
            "Epoch 2297/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8177 - val_loss: 7.6216\n",
            "Epoch 2298/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5022 - val_loss: 7.5508\n",
            "Epoch 2299/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.1001 - val_loss: 7.5237\n",
            "Epoch 2300/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5459 - val_loss: 7.5255\n",
            "Epoch 2301/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4574 - val_loss: 7.5276\n",
            "Epoch 2302/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.9348 - val_loss: 7.5357\n",
            "Epoch 2303/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5607 - val_loss: 7.5470\n",
            "Epoch 2304/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3067 - val_loss: 7.5241\n",
            "Epoch 2305/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5748 - val_loss: 7.4859\n",
            "Epoch 2306/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5014 - val_loss: 7.4670\n",
            "Epoch 2307/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5217 - val_loss: 7.4645\n",
            "Epoch 2308/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5868 - val_loss: 7.4816\n",
            "Epoch 2309/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6292 - val_loss: 7.5067\n",
            "Epoch 2310/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 3.0427 - val_loss: 7.4996\n",
            "Epoch 2311/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6840 - val_loss: 7.4884\n",
            "Epoch 2312/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6320 - val_loss: 7.4495\n",
            "Epoch 2313/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3992 - val_loss: 7.4139\n",
            "Epoch 2314/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5294 - val_loss: 7.4056\n",
            "Epoch 2315/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.2986 - val_loss: 7.3829\n",
            "Epoch 2316/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.7533 - val_loss: 7.3935\n",
            "Epoch 2317/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2425 - val_loss: 7.4490\n",
            "Epoch 2318/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4284 - val_loss: 7.5080\n",
            "Epoch 2319/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6972 - val_loss: 7.5122\n",
            "Epoch 2320/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3768 - val_loss: 7.5106\n",
            "Epoch 2321/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7408 - val_loss: 7.5512\n",
            "Epoch 2322/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5875 - val_loss: 7.6093\n",
            "Epoch 2323/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.4194 - val_loss: 7.6698\n",
            "Epoch 2324/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.7953 - val_loss: 7.7028\n",
            "Epoch 2325/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.3801 - val_loss: 7.6965\n",
            "Epoch 2326/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4859 - val_loss: 7.6981\n",
            "Epoch 2327/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5551 - val_loss: 7.7082\n",
            "Epoch 2328/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7414 - val_loss: 7.6767\n",
            "Epoch 2329/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7040 - val_loss: 7.6381\n",
            "Epoch 2330/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2863 - val_loss: 7.6081\n",
            "Epoch 2331/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3718 - val_loss: 7.5857\n",
            "Epoch 2332/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3942 - val_loss: 7.5922\n",
            "Epoch 2333/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4696 - val_loss: 7.6026\n",
            "Epoch 2334/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4290 - val_loss: 7.6235\n",
            "Epoch 2335/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.4951 - val_loss: 7.6438\n",
            "Epoch 2336/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3734 - val_loss: 7.6369\n",
            "Epoch 2337/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.5221 - val_loss: 7.6174\n",
            "Epoch 2338/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4915 - val_loss: 7.6359\n",
            "Epoch 2339/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3957 - val_loss: 7.6491\n",
            "Epoch 2340/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4859 - val_loss: 7.6393\n",
            "Epoch 2341/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4885 - val_loss: 7.6115\n",
            "Epoch 2342/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4437 - val_loss: 7.5905\n",
            "Epoch 2343/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6737 - val_loss: 7.5810\n",
            "Epoch 2344/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.5347 - val_loss: 7.5643\n",
            "Epoch 2345/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5245 - val_loss: 7.5534\n",
            "Epoch 2346/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3766 - val_loss: 7.5620\n",
            "Epoch 2347/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3863 - val_loss: 7.5724\n",
            "Epoch 2348/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5223 - val_loss: 7.5587\n",
            "Epoch 2349/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6487 - val_loss: 7.5692\n",
            "Epoch 2350/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8416 - val_loss: 7.5866\n",
            "Epoch 2351/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5572 - val_loss: 7.6226\n",
            "Epoch 2352/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4718 - val_loss: 7.6832\n",
            "Epoch 2353/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4482 - val_loss: 7.7211\n",
            "Epoch 2354/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.5146 - val_loss: 7.7173\n",
            "Epoch 2355/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.4374 - val_loss: 7.6606\n",
            "Epoch 2356/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.5350 - val_loss: 7.5952\n",
            "Epoch 2357/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4345 - val_loss: 7.5586\n",
            "Epoch 2358/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6147 - val_loss: 7.5594\n",
            "Epoch 2359/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7172 - val_loss: 7.5684\n",
            "Epoch 2360/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3011 - val_loss: 7.5726\n",
            "Epoch 2361/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.4163 - val_loss: 7.5500\n",
            "Epoch 2362/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.4682 - val_loss: 7.5662\n",
            "Epoch 2363/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5541 - val_loss: 7.5834\n",
            "Epoch 2364/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5008 - val_loss: 7.6189\n",
            "Epoch 2365/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5561 - val_loss: 7.6316\n",
            "Epoch 2366/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2792 - val_loss: 7.6285\n",
            "Epoch 2367/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5914 - val_loss: 7.6260\n",
            "Epoch 2368/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5708 - val_loss: 7.6405\n",
            "Epoch 2369/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6509 - val_loss: 7.6396\n",
            "Epoch 2370/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4215 - val_loss: 7.5990\n",
            "Epoch 2371/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5401 - val_loss: 7.5883\n",
            "Epoch 2372/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 2.4972 - val_loss: 7.6033\n",
            "Epoch 2373/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.6484 - val_loss: 7.6480\n",
            "Epoch 2374/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4702 - val_loss: 7.7230\n",
            "Epoch 2375/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2475 - val_loss: 7.7870\n",
            "Epoch 2376/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.3821 - val_loss: 7.7966\n",
            "Epoch 2377/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5130 - val_loss: 7.7594\n",
            "Epoch 2378/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4642 - val_loss: 7.7557\n",
            "Epoch 2379/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5897 - val_loss: 7.7481\n",
            "Epoch 2380/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6246 - val_loss: 7.7319\n",
            "Epoch 2381/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4029 - val_loss: 7.7369\n",
            "Epoch 2382/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3822 - val_loss: 7.7565\n",
            "Epoch 2383/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.4707 - val_loss: 7.7533\n",
            "Epoch 2384/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3032 - val_loss: 7.6974\n",
            "Epoch 2385/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7112 - val_loss: 7.6577\n",
            "Epoch 2386/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5548 - val_loss: 7.6799\n",
            "Epoch 2387/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5070 - val_loss: 7.6981\n",
            "Epoch 2388/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5410 - val_loss: 7.7100\n",
            "Epoch 2389/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4582 - val_loss: 7.7531\n",
            "Epoch 2390/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5067 - val_loss: 7.7330\n",
            "Epoch 2391/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4811 - val_loss: 7.6934\n",
            "Epoch 2392/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3969 - val_loss: 7.6668\n",
            "Epoch 2393/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5117 - val_loss: 7.6665\n",
            "Epoch 2394/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4535 - val_loss: 7.6693\n",
            "Epoch 2395/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5186 - val_loss: 7.6888\n",
            "Epoch 2396/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3019 - val_loss: 7.7213\n",
            "Epoch 2397/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4905 - val_loss: 7.7659\n",
            "Epoch 2398/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6491 - val_loss: 7.7918\n",
            "Epoch 2399/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4239 - val_loss: 7.7986\n",
            "Epoch 2400/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6389 - val_loss: 7.8013\n",
            "Epoch 2401/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.6096 - val_loss: 7.8267\n",
            "Epoch 2402/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.8287 - val_loss: 7.8457\n",
            "Epoch 2403/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6303 - val_loss: 7.8420\n",
            "Epoch 2404/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5612 - val_loss: 7.7984\n",
            "Epoch 2405/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6755 - val_loss: 7.7586\n",
            "Epoch 2406/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4276 - val_loss: 7.7088\n",
            "Epoch 2407/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2679 - val_loss: 7.6697\n",
            "Epoch 2408/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7234 - val_loss: 7.6542\n",
            "Epoch 2409/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7649 - val_loss: 7.6587\n",
            "Epoch 2410/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3310 - val_loss: 7.6354\n",
            "Epoch 2411/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1914 - val_loss: 7.6380\n",
            "Epoch 2412/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.4791 - val_loss: 7.6625\n",
            "Epoch 2413/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5002 - val_loss: 7.6915\n",
            "Epoch 2414/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3819 - val_loss: 7.7111\n",
            "Epoch 2415/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5844 - val_loss: 7.7027\n",
            "Epoch 2416/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3633 - val_loss: 7.7111\n",
            "Epoch 2417/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4878 - val_loss: 7.7069\n",
            "Epoch 2418/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.5734 - val_loss: 7.6844\n",
            "Epoch 2419/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.6331 - val_loss: 7.6455\n",
            "Epoch 2420/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 2.3936 - val_loss: 7.6046\n",
            "Epoch 2421/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4792 - val_loss: 7.5747\n",
            "Epoch 2422/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.8655 - val_loss: 7.5561\n",
            "Epoch 2423/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7591 - val_loss: 7.5674\n",
            "Epoch 2424/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6405 - val_loss: 7.6287\n",
            "Epoch 2425/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4523 - val_loss: 7.6919\n",
            "Epoch 2426/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5235 - val_loss: 7.7161\n",
            "Epoch 2427/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6767 - val_loss: 7.6977\n",
            "Epoch 2428/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2594 - val_loss: 7.6576\n",
            "Epoch 2429/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 2.4158 - val_loss: 7.6312\n",
            "Epoch 2430/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3195 - val_loss: 7.6277\n",
            "Epoch 2431/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5597 - val_loss: 7.6623\n",
            "Epoch 2432/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5094 - val_loss: 7.6830\n",
            "Epoch 2433/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5566 - val_loss: 7.7080\n",
            "Epoch 2434/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2491 - val_loss: 7.6903\n",
            "Epoch 2435/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5277 - val_loss: 7.6245\n",
            "Epoch 2436/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2214 - val_loss: 7.5852\n",
            "Epoch 2437/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8007 - val_loss: 7.5992\n",
            "Epoch 2438/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6478 - val_loss: 7.6572\n",
            "Epoch 2439/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7660 - val_loss: 7.7399\n",
            "Epoch 2440/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4727 - val_loss: 7.7844\n",
            "Epoch 2441/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.3518 - val_loss: 7.7918\n",
            "Epoch 2442/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2305 - val_loss: 7.7241\n",
            "Epoch 2443/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5129 - val_loss: 7.6478\n",
            "Epoch 2444/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4700 - val_loss: 7.5899\n",
            "Epoch 2445/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5596 - val_loss: 7.5398\n",
            "Epoch 2446/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2590 - val_loss: 7.5080\n",
            "Epoch 2447/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3260 - val_loss: 7.5204\n",
            "Epoch 2448/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3592 - val_loss: 7.5445\n",
            "Epoch 2449/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3297 - val_loss: 7.5398\n",
            "Epoch 2450/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7151 - val_loss: 7.5413\n",
            "Epoch 2451/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.2370 - val_loss: 7.5841\n",
            "Epoch 2452/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2088 - val_loss: 7.6141\n",
            "Epoch 2453/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3845 - val_loss: 7.6255\n",
            "Epoch 2454/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2153 - val_loss: 7.6412\n",
            "Epoch 2455/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5175 - val_loss: 7.6546\n",
            "Epoch 2456/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2980 - val_loss: 7.6440\n",
            "Epoch 2457/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6017 - val_loss: 7.6455\n",
            "Epoch 2458/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 2.5395 - val_loss: 7.6197\n",
            "Epoch 2459/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4863 - val_loss: 7.6137\n",
            "Epoch 2460/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5291 - val_loss: 7.6443\n",
            "Epoch 2461/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.3082 - val_loss: 7.7133\n",
            "Epoch 2462/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.7478 - val_loss: 7.7304\n",
            "Epoch 2463/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3181 - val_loss: 7.7180\n",
            "Epoch 2464/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4093 - val_loss: 7.7286\n",
            "Epoch 2465/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4472 - val_loss: 7.7185\n",
            "Epoch 2466/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.2956 - val_loss: 7.7384\n",
            "Epoch 2467/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5525 - val_loss: 7.7188\n",
            "Epoch 2468/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2539 - val_loss: 7.7102\n",
            "Epoch 2469/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5386 - val_loss: 7.6719\n",
            "Epoch 2470/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.6478 - val_loss: 7.6208\n",
            "Epoch 2471/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4868 - val_loss: 7.6203\n",
            "Epoch 2472/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2612 - val_loss: 7.6455\n",
            "Epoch 2473/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6807 - val_loss: 7.6431\n",
            "Epoch 2474/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.8409 - val_loss: 7.6635\n",
            "Epoch 2475/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0937 - val_loss: 7.6917\n",
            "Epoch 2476/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7922 - val_loss: 7.7281\n",
            "Epoch 2477/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4852 - val_loss: 7.7366\n",
            "Epoch 2478/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6697 - val_loss: 7.7617\n",
            "Epoch 2479/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4906 - val_loss: 7.7584\n",
            "Epoch 2480/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 2.3680 - val_loss: 7.7662\n",
            "Epoch 2481/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6690 - val_loss: 7.8169\n",
            "Epoch 2482/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3621 - val_loss: 7.8635\n",
            "Epoch 2483/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2876 - val_loss: 7.8749\n",
            "Epoch 2484/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1839 - val_loss: 7.8821\n",
            "Epoch 2485/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3124 - val_loss: 7.8561\n",
            "Epoch 2486/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.5035 - val_loss: 7.8350\n",
            "Epoch 2487/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1271 - val_loss: 7.7973\n",
            "Epoch 2488/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4008 - val_loss: 7.7832\n",
            "Epoch 2489/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2939 - val_loss: 7.7589\n",
            "Epoch 2490/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.0689 - val_loss: 7.7416\n",
            "Epoch 2491/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4049 - val_loss: 7.7250\n",
            "Epoch 2492/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4077 - val_loss: 7.7155\n",
            "Epoch 2493/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3300 - val_loss: 7.6857\n",
            "Epoch 2494/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4306 - val_loss: 7.6948\n",
            "Epoch 2495/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2303 - val_loss: 7.7019\n",
            "Epoch 2496/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3765 - val_loss: 7.7246\n",
            "Epoch 2497/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6611 - val_loss: 7.7581\n",
            "Epoch 2498/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 2.2275 - val_loss: 7.8093\n",
            "Epoch 2499/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.5952 - val_loss: 7.8216\n",
            "Epoch 2500/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5452 - val_loss: 7.8327\n",
            "Epoch 2501/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4899 - val_loss: 7.8301\n",
            "Epoch 2502/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3048 - val_loss: 7.8248\n",
            "Epoch 2503/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4531 - val_loss: 7.7919\n",
            "Epoch 2504/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3219 - val_loss: 7.8101\n",
            "Epoch 2505/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1019 - val_loss: 7.8364\n",
            "Epoch 2506/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.8745 - val_loss: 7.8009\n",
            "Epoch 2507/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4972 - val_loss: 7.7398\n",
            "Epoch 2508/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3379 - val_loss: 7.7210\n",
            "Epoch 2509/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.3442 - val_loss: 7.7186\n",
            "Epoch 2510/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3787 - val_loss: 7.7240\n",
            "Epoch 2511/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6254 - val_loss: 7.7060\n",
            "Epoch 2512/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5757 - val_loss: 7.7157\n",
            "Epoch 2513/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5643 - val_loss: 7.7647\n",
            "Epoch 2514/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.1614 - val_loss: 7.7592\n",
            "Epoch 2515/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.5622 - val_loss: 7.7535\n",
            "Epoch 2516/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.3206 - val_loss: 7.7739\n",
            "Epoch 2517/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5787 - val_loss: 7.7999\n",
            "Epoch 2518/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3735 - val_loss: 7.8223\n",
            "Epoch 2519/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.6306 - val_loss: 7.8822\n",
            "Epoch 2520/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4680 - val_loss: 7.9238\n",
            "Epoch 2521/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4373 - val_loss: 7.9111\n",
            "Epoch 2522/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3325 - val_loss: 7.8623\n",
            "Epoch 2523/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3430 - val_loss: 7.8350\n",
            "Epoch 2524/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2821 - val_loss: 7.8171\n",
            "Epoch 2525/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2307 - val_loss: 7.8036\n",
            "Epoch 2526/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4175 - val_loss: 7.7564\n",
            "Epoch 2527/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.0734 - val_loss: 7.7647\n",
            "Epoch 2528/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.4924 - val_loss: 7.7905\n",
            "Epoch 2529/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5316 - val_loss: 7.7955\n",
            "Epoch 2530/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4023 - val_loss: 7.7951\n",
            "Epoch 2531/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5358 - val_loss: 7.7870\n",
            "Epoch 2532/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4746 - val_loss: 7.7712\n",
            "Epoch 2533/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5412 - val_loss: 7.7720\n",
            "Epoch 2534/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6302 - val_loss: 7.7579\n",
            "Epoch 2535/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2979 - val_loss: 7.7093\n",
            "Epoch 2536/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2442 - val_loss: 7.6821\n",
            "Epoch 2537/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3731 - val_loss: 7.6677\n",
            "Epoch 2538/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.3923 - val_loss: 7.7139\n",
            "Epoch 2539/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1338 - val_loss: 7.7370\n",
            "Epoch 2540/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2715 - val_loss: 7.7626\n",
            "Epoch 2541/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5699 - val_loss: 7.7753\n",
            "Epoch 2542/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2983 - val_loss: 7.7421\n",
            "Epoch 2543/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5756 - val_loss: 7.7139\n",
            "Epoch 2544/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.6276 - val_loss: 7.6777\n",
            "Epoch 2545/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1729 - val_loss: 7.6362\n",
            "Epoch 2546/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3742 - val_loss: 7.6369\n",
            "Epoch 2547/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1087 - val_loss: 7.6471\n",
            "Epoch 2548/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.3167 - val_loss: 7.6359\n",
            "Epoch 2549/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3316 - val_loss: 7.6589\n",
            "Epoch 2550/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3300 - val_loss: 7.6729\n",
            "Epoch 2551/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1773 - val_loss: 7.7025\n",
            "Epoch 2552/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2844 - val_loss: 7.7235\n",
            "Epoch 2553/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4222 - val_loss: 7.8063\n",
            "Epoch 2554/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4357 - val_loss: 7.8857\n",
            "Epoch 2555/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3300 - val_loss: 7.9071\n",
            "Epoch 2556/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2565 - val_loss: 7.9062\n",
            "Epoch 2557/3000\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 2.3414 - val_loss: 7.8391\n",
            "Epoch 2558/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4411 - val_loss: 7.7544\n",
            "Epoch 2559/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6354 - val_loss: 7.7198\n",
            "Epoch 2560/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5002 - val_loss: 7.6924\n",
            "Epoch 2561/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.4938 - val_loss: 7.6521\n",
            "Epoch 2562/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.2438 - val_loss: 7.6366\n",
            "Epoch 2563/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.6479 - val_loss: 7.6661\n",
            "Epoch 2564/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5582 - val_loss: 7.6926\n",
            "Epoch 2565/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2254 - val_loss: 7.7133\n",
            "Epoch 2566/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3515 - val_loss: 7.7468\n",
            "Epoch 2567/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.3838 - val_loss: 7.7427\n",
            "Epoch 2568/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9601 - val_loss: 7.7785\n",
            "Epoch 2569/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4880 - val_loss: 7.8206\n",
            "Epoch 2570/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.1738 - val_loss: 7.8630\n",
            "Epoch 2571/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5042 - val_loss: 7.8823\n",
            "Epoch 2572/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1866 - val_loss: 7.8622\n",
            "Epoch 2573/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0010 - val_loss: 7.7900\n",
            "Epoch 2574/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1048 - val_loss: 7.7111\n",
            "Epoch 2575/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3002 - val_loss: 7.6536\n",
            "Epoch 2576/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0837 - val_loss: 7.6246\n",
            "Epoch 2577/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.4189 - val_loss: 7.6318\n",
            "Epoch 2578/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4868 - val_loss: 7.6492\n",
            "Epoch 2579/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3889 - val_loss: 7.7172\n",
            "Epoch 2580/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1867 - val_loss: 7.7364\n",
            "Epoch 2581/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0434 - val_loss: 7.7153\n",
            "Epoch 2582/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2186 - val_loss: 7.6399\n",
            "Epoch 2583/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4421 - val_loss: 7.5907\n",
            "Epoch 2584/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4360 - val_loss: 7.6204\n",
            "Epoch 2585/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9506 - val_loss: 7.6689\n",
            "Epoch 2586/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2602 - val_loss: 7.6766\n",
            "Epoch 2587/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.2659 - val_loss: 7.6519\n",
            "Epoch 2588/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2638 - val_loss: 7.6592\n",
            "Epoch 2589/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2738 - val_loss: 7.6739\n",
            "Epoch 2590/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1037 - val_loss: 7.6904\n",
            "Epoch 2591/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3965 - val_loss: 7.6975\n",
            "Epoch 2592/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3670 - val_loss: 7.7222\n",
            "Epoch 2593/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7019 - val_loss: 7.7664\n",
            "Epoch 2594/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0307 - val_loss: 7.8032\n",
            "Epoch 2595/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2698 - val_loss: 7.8340\n",
            "Epoch 2596/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.6067 - val_loss: 7.8197\n",
            "Epoch 2597/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2057 - val_loss: 7.7723\n",
            "Epoch 2598/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3681 - val_loss: 7.7206\n",
            "Epoch 2599/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3662 - val_loss: 7.7293\n",
            "Epoch 2600/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.5462 - val_loss: 7.7436\n",
            "Epoch 2601/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4702 - val_loss: 7.7855\n",
            "Epoch 2602/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3427 - val_loss: 7.8491\n",
            "Epoch 2603/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1523 - val_loss: 7.7964\n",
            "Epoch 2604/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3895 - val_loss: 7.7118\n",
            "Epoch 2605/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.9667 - val_loss: 7.6332\n",
            "Epoch 2606/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.2734 - val_loss: 7.5914\n",
            "Epoch 2607/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2353 - val_loss: 7.5800\n",
            "Epoch 2608/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4214 - val_loss: 7.5452\n",
            "Epoch 2609/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2389 - val_loss: 7.5791\n",
            "Epoch 2610/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1362 - val_loss: 7.6107\n",
            "Epoch 2611/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2854 - val_loss: 7.6456\n",
            "Epoch 2612/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1579 - val_loss: 7.6237\n",
            "Epoch 2613/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3314 - val_loss: 7.6061\n",
            "Epoch 2614/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1784 - val_loss: 7.5919\n",
            "Epoch 2615/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2534 - val_loss: 7.5992\n",
            "Epoch 2616/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.9773 - val_loss: 7.5619\n",
            "Epoch 2617/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1504 - val_loss: 7.5272\n",
            "Epoch 2618/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.5082 - val_loss: 7.5285\n",
            "Epoch 2619/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3816 - val_loss: 7.5490\n",
            "Epoch 2620/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0807 - val_loss: 7.6023\n",
            "Epoch 2621/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3191 - val_loss: 7.6137\n",
            "Epoch 2622/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.4622 - val_loss: 7.6251\n",
            "Epoch 2623/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1238 - val_loss: 7.6525\n",
            "Epoch 2624/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1427 - val_loss: 7.7072\n",
            "Epoch 2625/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.2217 - val_loss: 7.6845\n",
            "Epoch 2626/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2169 - val_loss: 7.6751\n",
            "Epoch 2627/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.4793 - val_loss: 7.6428\n",
            "Epoch 2628/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.4404 - val_loss: 7.6076\n",
            "Epoch 2629/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3197 - val_loss: 7.6243\n",
            "Epoch 2630/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.2135 - val_loss: 7.6760\n",
            "Epoch 2631/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1687 - val_loss: 7.6821\n",
            "Epoch 2632/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.7371 - val_loss: 7.6953\n",
            "Epoch 2633/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0467 - val_loss: 7.7299\n",
            "Epoch 2634/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1294 - val_loss: 7.7384\n",
            "Epoch 2635/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.1548 - val_loss: 7.7308\n",
            "Epoch 2636/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4930 - val_loss: 7.7487\n",
            "Epoch 2637/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5870 - val_loss: 7.7855\n",
            "Epoch 2638/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.0697 - val_loss: 7.8416\n",
            "Epoch 2639/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3213 - val_loss: 7.8524\n",
            "Epoch 2640/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2276 - val_loss: 7.7824\n",
            "Epoch 2641/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3890 - val_loss: 7.6944\n",
            "Epoch 2642/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3216 - val_loss: 7.6230\n",
            "Epoch 2643/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9538 - val_loss: 7.5913\n",
            "Epoch 2644/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2207 - val_loss: 7.5886\n",
            "Epoch 2645/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 2.1368 - val_loss: 7.6593\n",
            "Epoch 2646/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.3904 - val_loss: 7.7072\n",
            "Epoch 2647/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3057 - val_loss: 7.7309\n",
            "Epoch 2648/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3017 - val_loss: 7.7362\n",
            "Epoch 2649/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2851 - val_loss: 7.7267\n",
            "Epoch 2650/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.3970 - val_loss: 7.7327\n",
            "Epoch 2651/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.4083 - val_loss: 7.7360\n",
            "Epoch 2652/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0424 - val_loss: 7.7286\n",
            "Epoch 2653/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2723 - val_loss: 7.7044\n",
            "Epoch 2654/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5417 - val_loss: 7.6232\n",
            "Epoch 2655/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 1.9195 - val_loss: 7.5291\n",
            "Epoch 2656/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.1217 - val_loss: 7.4739\n",
            "Epoch 2657/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.2886 - val_loss: 7.4437\n",
            "Epoch 2658/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2936 - val_loss: 7.5094\n",
            "Epoch 2659/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1740 - val_loss: 7.6497\n",
            "Epoch 2660/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3418 - val_loss: 7.7979\n",
            "Epoch 2661/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2897 - val_loss: 7.8598\n",
            "Epoch 2662/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3012 - val_loss: 7.8481\n",
            "Epoch 2663/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 2.4891 - val_loss: 7.7477\n",
            "Epoch 2664/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.3127 - val_loss: 7.6161\n",
            "Epoch 2665/3000\n",
            "2/2 [==============================] - 0s 87ms/step - loss: 1.9328 - val_loss: 7.5030\n",
            "Epoch 2666/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3718 - val_loss: 7.4397\n",
            "Epoch 2667/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.5916 - val_loss: 7.4661\n",
            "Epoch 2668/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2400 - val_loss: 7.5562\n",
            "Epoch 2669/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1865 - val_loss: 7.6286\n",
            "Epoch 2670/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.1300 - val_loss: 7.7064\n",
            "Epoch 2671/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1716 - val_loss: 7.7372\n",
            "Epoch 2672/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1073 - val_loss: 7.7489\n",
            "Epoch 2673/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3842 - val_loss: 7.7685\n",
            "Epoch 2674/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.3485 - val_loss: 7.7853\n",
            "Epoch 2675/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0796 - val_loss: 7.8214\n",
            "Epoch 2676/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2524 - val_loss: 7.7907\n",
            "Epoch 2677/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2202 - val_loss: 7.7166\n",
            "Epoch 2678/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2745 - val_loss: 7.6701\n",
            "Epoch 2679/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.0275 - val_loss: 7.6191\n",
            "Epoch 2680/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4617 - val_loss: 7.5800\n",
            "Epoch 2681/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 2.1051 - val_loss: 7.5511\n",
            "Epoch 2682/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4437 - val_loss: 7.5601\n",
            "Epoch 2683/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2401 - val_loss: 7.6515\n",
            "Epoch 2684/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.1320 - val_loss: 7.7396\n",
            "Epoch 2685/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1003 - val_loss: 7.7443\n",
            "Epoch 2686/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 2.1795 - val_loss: 7.6978\n",
            "Epoch 2687/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1478 - val_loss: 7.6835\n",
            "Epoch 2688/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.6382 - val_loss: 7.6346\n",
            "Epoch 2689/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2462 - val_loss: 7.5438\n",
            "Epoch 2690/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0708 - val_loss: 7.4583\n",
            "Epoch 2691/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2304 - val_loss: 7.4364\n",
            "Epoch 2692/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1573 - val_loss: 7.4033\n",
            "Epoch 2693/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2638 - val_loss: 7.4173\n",
            "Epoch 2694/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.2844 - val_loss: 7.4702\n",
            "Epoch 2695/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2335 - val_loss: 7.5294\n",
            "Epoch 2696/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3501 - val_loss: 7.6075\n",
            "Epoch 2697/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9817 - val_loss: 7.6884\n",
            "Epoch 2698/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1844 - val_loss: 7.7206\n",
            "Epoch 2699/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1111 - val_loss: 7.6958\n",
            "Epoch 2700/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1544 - val_loss: 7.6562\n",
            "Epoch 2701/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0791 - val_loss: 7.6156\n",
            "Epoch 2702/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1278 - val_loss: 7.6128\n",
            "Epoch 2703/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.1677 - val_loss: 7.6431\n",
            "Epoch 2704/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0329 - val_loss: 7.6624\n",
            "Epoch 2705/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.4497 - val_loss: 7.6142\n",
            "Epoch 2706/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1209 - val_loss: 7.5472\n",
            "Epoch 2707/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.1481 - val_loss: 7.4859\n",
            "Epoch 2708/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0392 - val_loss: 7.4534\n",
            "Epoch 2709/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1194 - val_loss: 7.5043\n",
            "Epoch 2710/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.0810 - val_loss: 7.5750\n",
            "Epoch 2711/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9961 - val_loss: 7.5991\n",
            "Epoch 2712/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1738 - val_loss: 7.5985\n",
            "Epoch 2713/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.8904 - val_loss: 7.6291\n",
            "Epoch 2714/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3446 - val_loss: 7.6831\n",
            "Epoch 2715/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0992 - val_loss: 7.7942\n",
            "Epoch 2716/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.5102 - val_loss: 7.8615\n",
            "Epoch 2717/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1758 - val_loss: 7.8426\n",
            "Epoch 2718/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0919 - val_loss: 7.7769\n",
            "Epoch 2719/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2625 - val_loss: 7.7040\n",
            "Epoch 2720/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1865 - val_loss: 7.6587\n",
            "Epoch 2721/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1701 - val_loss: 7.6422\n",
            "Epoch 2722/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0664 - val_loss: 7.6650\n",
            "Epoch 2723/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.0574 - val_loss: 7.6910\n",
            "Epoch 2724/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1979 - val_loss: 7.7113\n",
            "Epoch 2725/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1004 - val_loss: 7.6735\n",
            "Epoch 2726/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2140 - val_loss: 7.6620\n",
            "Epoch 2727/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1081 - val_loss: 7.6674\n",
            "Epoch 2728/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2165 - val_loss: 7.6881\n",
            "Epoch 2729/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2847 - val_loss: 7.7510\n",
            "Epoch 2730/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8637 - val_loss: 7.7951\n",
            "Epoch 2731/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.9805 - val_loss: 7.8033\n",
            "Epoch 2732/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0604 - val_loss: 7.8498\n",
            "Epoch 2733/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.3131 - val_loss: 7.8680\n",
            "Epoch 2734/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 2.2188 - val_loss: 7.8749\n",
            "Epoch 2735/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.9967 - val_loss: 7.8679\n",
            "Epoch 2736/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0622 - val_loss: 7.8530\n",
            "Epoch 2737/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9386 - val_loss: 7.8311\n",
            "Epoch 2738/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.2731 - val_loss: 7.7817\n",
            "Epoch 2739/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0906 - val_loss: 7.7147\n",
            "Epoch 2740/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.3872 - val_loss: 7.6688\n",
            "Epoch 2741/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9094 - val_loss: 7.6804\n",
            "Epoch 2742/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.2324 - val_loss: 7.6877\n",
            "Epoch 2743/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0005 - val_loss: 7.6885\n",
            "Epoch 2744/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9019 - val_loss: 7.6925\n",
            "Epoch 2745/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1140 - val_loss: 7.7106\n",
            "Epoch 2746/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0036 - val_loss: 7.6880\n",
            "Epoch 2747/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2717 - val_loss: 7.6424\n",
            "Epoch 2748/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1886 - val_loss: 7.6288\n",
            "Epoch 2749/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0297 - val_loss: 7.6513\n",
            "Epoch 2750/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0532 - val_loss: 7.6856\n",
            "Epoch 2751/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1510 - val_loss: 7.7213\n",
            "Epoch 2752/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.9641 - val_loss: 7.7620\n",
            "Epoch 2753/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0501 - val_loss: 7.7689\n",
            "Epoch 2754/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0185 - val_loss: 7.7624\n",
            "Epoch 2755/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2630 - val_loss: 7.7661\n",
            "Epoch 2756/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1690 - val_loss: 7.8428\n",
            "Epoch 2757/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8520 - val_loss: 7.8744\n",
            "Epoch 2758/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.1687 - val_loss: 7.8684\n",
            "Epoch 2759/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2245 - val_loss: 7.7975\n",
            "Epoch 2760/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0657 - val_loss: 7.7111\n",
            "Epoch 2761/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9443 - val_loss: 7.6146\n",
            "Epoch 2762/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.3852 - val_loss: 7.5589\n",
            "Epoch 2763/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1986 - val_loss: 7.5955\n",
            "Epoch 2764/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9634 - val_loss: 7.6698\n",
            "Epoch 2765/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9613 - val_loss: 7.7297\n",
            "Epoch 2766/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3023 - val_loss: 7.7504\n",
            "Epoch 2767/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.2916 - val_loss: 7.7397\n",
            "Epoch 2768/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.1564 - val_loss: 7.6950\n",
            "Epoch 2769/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8441 - val_loss: 7.6645\n",
            "Epoch 2770/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2783 - val_loss: 7.6574\n",
            "Epoch 2771/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.0204 - val_loss: 7.6669\n",
            "Epoch 2772/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0870 - val_loss: 7.6866\n",
            "Epoch 2773/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.3600 - val_loss: 7.7018\n",
            "Epoch 2774/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8558 - val_loss: 7.7438\n",
            "Epoch 2775/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7131 - val_loss: 7.7204\n",
            "Epoch 2776/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.9982 - val_loss: 7.6929\n",
            "Epoch 2777/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0284 - val_loss: 7.6690\n",
            "Epoch 2778/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8938 - val_loss: 7.6543\n",
            "Epoch 2779/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1406 - val_loss: 7.6492\n",
            "Epoch 2780/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1874 - val_loss: 7.6573\n",
            "Epoch 2781/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.9887 - val_loss: 7.7232\n",
            "Epoch 2782/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8086 - val_loss: 7.7472\n",
            "Epoch 2783/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0437 - val_loss: 7.7188\n",
            "Epoch 2784/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0774 - val_loss: 7.6428\n",
            "Epoch 2785/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0727 - val_loss: 7.6133\n",
            "Epoch 2786/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9872 - val_loss: 7.7099\n",
            "Epoch 2787/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9415 - val_loss: 7.7965\n",
            "Epoch 2788/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0043 - val_loss: 7.9198\n",
            "Epoch 2789/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2189 - val_loss: 7.9357\n",
            "Epoch 2790/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0497 - val_loss: 7.9045\n",
            "Epoch 2791/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.0534 - val_loss: 7.8679\n",
            "Epoch 2792/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.1681 - val_loss: 7.8014\n",
            "Epoch 2793/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1162 - val_loss: 7.7473\n",
            "Epoch 2794/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1056 - val_loss: 7.7565\n",
            "Epoch 2795/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 1.8609 - val_loss: 7.8066\n",
            "Epoch 2796/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.0348 - val_loss: 7.8097\n",
            "Epoch 2797/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.3011 - val_loss: 7.7607\n",
            "Epoch 2798/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0317 - val_loss: 7.6746\n",
            "Epoch 2799/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0420 - val_loss: 7.6590\n",
            "Epoch 2800/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2745 - val_loss: 7.7131\n",
            "Epoch 2801/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.0643 - val_loss: 7.7770\n",
            "Epoch 2802/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7558 - val_loss: 7.7815\n",
            "Epoch 2803/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1460 - val_loss: 7.7542\n",
            "Epoch 2804/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1056 - val_loss: 7.7383\n",
            "Epoch 2805/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1253 - val_loss: 7.7198\n",
            "Epoch 2806/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1911 - val_loss: 7.7253\n",
            "Epoch 2807/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.0500 - val_loss: 7.7277\n",
            "Epoch 2808/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9739 - val_loss: 7.6966\n",
            "Epoch 2809/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0151 - val_loss: 7.6676\n",
            "Epoch 2810/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.9777 - val_loss: 7.7027\n",
            "Epoch 2811/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8401 - val_loss: 7.7444\n",
            "Epoch 2812/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2579 - val_loss: 7.7399\n",
            "Epoch 2813/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0268 - val_loss: 7.7574\n",
            "Epoch 2814/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9316 - val_loss: 7.7269\n",
            "Epoch 2815/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9615 - val_loss: 7.6701\n",
            "Epoch 2816/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8918 - val_loss: 7.6642\n",
            "Epoch 2817/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0471 - val_loss: 7.6349\n",
            "Epoch 2818/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7979 - val_loss: 7.6283\n",
            "Epoch 2819/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0938 - val_loss: 7.6716\n",
            "Epoch 2820/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 1.9343 - val_loss: 7.7839\n",
            "Epoch 2821/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8735 - val_loss: 7.8985\n",
            "Epoch 2822/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.7516 - val_loss: 7.9658\n",
            "Epoch 2823/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0190 - val_loss: 7.9969\n",
            "Epoch 2824/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.1377 - val_loss: 8.0278\n",
            "Epoch 2825/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0112 - val_loss: 8.0170\n",
            "Epoch 2826/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7863 - val_loss: 7.9932\n",
            "Epoch 2827/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9331 - val_loss: 7.9554\n",
            "Epoch 2828/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0058 - val_loss: 7.9006\n",
            "Epoch 2829/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1978 - val_loss: 7.8867\n",
            "Epoch 2830/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.3447 - val_loss: 7.9238\n",
            "Epoch 2831/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9505 - val_loss: 7.9691\n",
            "Epoch 2832/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0734 - val_loss: 7.9832\n",
            "Epoch 2833/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8353 - val_loss: 7.9408\n",
            "Epoch 2834/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0697 - val_loss: 7.8855\n",
            "Epoch 2835/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0474 - val_loss: 7.7906\n",
            "Epoch 2836/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9603 - val_loss: 7.7594\n",
            "Epoch 2837/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9061 - val_loss: 7.7761\n",
            "Epoch 2838/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0430 - val_loss: 7.7837\n",
            "Epoch 2839/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.9451 - val_loss: 7.7765\n",
            "Epoch 2840/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.9434 - val_loss: 7.7962\n",
            "Epoch 2841/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.0185 - val_loss: 7.7458\n",
            "Epoch 2842/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9547 - val_loss: 7.6875\n",
            "Epoch 2843/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9700 - val_loss: 7.6952\n",
            "Epoch 2844/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0699 - val_loss: 7.7290\n",
            "Epoch 2845/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0981 - val_loss: 7.7669\n",
            "Epoch 2846/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1561 - val_loss: 7.8623\n",
            "Epoch 2847/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1339 - val_loss: 7.9281\n",
            "Epoch 2848/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.7298 - val_loss: 7.9807\n",
            "Epoch 2849/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.1697 - val_loss: 7.9816\n",
            "Epoch 2850/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8484 - val_loss: 7.9757\n",
            "Epoch 2851/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0649 - val_loss: 7.9790\n",
            "Epoch 2852/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.1329 - val_loss: 7.9358\n",
            "Epoch 2853/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8460 - val_loss: 7.8949\n",
            "Epoch 2854/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.9225 - val_loss: 7.8102\n",
            "Epoch 2855/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8047 - val_loss: 7.7536\n",
            "Epoch 2856/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0702 - val_loss: 7.7331\n",
            "Epoch 2857/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 2.0997 - val_loss: 7.8390\n",
            "Epoch 2858/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8166 - val_loss: 7.9199\n",
            "Epoch 2859/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.9201 - val_loss: 7.9296\n",
            "Epoch 2860/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.9396 - val_loss: 7.8971\n",
            "Epoch 2861/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.3414 - val_loss: 7.8433\n",
            "Epoch 2862/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9172 - val_loss: 7.7994\n",
            "Epoch 2863/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0752 - val_loss: 7.7913\n",
            "Epoch 2864/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7840 - val_loss: 7.7812\n",
            "Epoch 2865/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9330 - val_loss: 7.7813\n",
            "Epoch 2866/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7671 - val_loss: 7.7523\n",
            "Epoch 2867/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8518 - val_loss: 7.7244\n",
            "Epoch 2868/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.9250 - val_loss: 7.7292\n",
            "Epoch 2869/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9249 - val_loss: 7.7702\n",
            "Epoch 2870/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0363 - val_loss: 7.8000\n",
            "Epoch 2871/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8558 - val_loss: 7.8353\n",
            "Epoch 2872/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 2.0959 - val_loss: 7.8640\n",
            "Epoch 2873/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0458 - val_loss: 7.8902\n",
            "Epoch 2874/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0014 - val_loss: 7.8959\n",
            "Epoch 2875/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0177 - val_loss: 7.8564\n",
            "Epoch 2876/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.8178 - val_loss: 7.8039\n",
            "Epoch 2877/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 2.1278 - val_loss: 7.7879\n",
            "Epoch 2878/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.9768 - val_loss: 7.8172\n",
            "Epoch 2879/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.6949 - val_loss: 7.8800\n",
            "Epoch 2880/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0070 - val_loss: 7.8770\n",
            "Epoch 2881/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 2.0547 - val_loss: 7.8191\n",
            "Epoch 2882/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9520 - val_loss: 7.8209\n",
            "Epoch 2883/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.1356 - val_loss: 7.8508\n",
            "Epoch 2884/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.2210 - val_loss: 7.8697\n",
            "Epoch 2885/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9508 - val_loss: 7.8838\n",
            "Epoch 2886/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8284 - val_loss: 7.8889\n",
            "Epoch 2887/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1958 - val_loss: 7.8590\n",
            "Epoch 2888/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 2.2734 - val_loss: 7.8097\n",
            "Epoch 2889/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0783 - val_loss: 7.8409\n",
            "Epoch 2890/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9169 - val_loss: 7.8801\n",
            "Epoch 2891/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.7097 - val_loss: 7.8847\n",
            "Epoch 2892/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.8626 - val_loss: 7.8791\n",
            "Epoch 2893/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0268 - val_loss: 7.8782\n",
            "Epoch 2894/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1437 - val_loss: 7.9195\n",
            "Epoch 2895/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9232 - val_loss: 8.0036\n",
            "Epoch 2896/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2508 - val_loss: 8.0510\n",
            "Epoch 2897/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0498 - val_loss: 7.9744\n",
            "Epoch 2898/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.0087 - val_loss: 7.8658\n",
            "Epoch 2899/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8844 - val_loss: 7.7779\n",
            "Epoch 2900/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8008 - val_loss: 7.7035\n",
            "Epoch 2901/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9091 - val_loss: 7.6910\n",
            "Epoch 2902/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1940 - val_loss: 7.8132\n",
            "Epoch 2903/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8967 - val_loss: 7.9625\n",
            "Epoch 2904/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.7526 - val_loss: 8.0531\n",
            "Epoch 2905/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0101 - val_loss: 8.0594\n",
            "Epoch 2906/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9901 - val_loss: 8.0057\n",
            "Epoch 2907/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.8380 - val_loss: 7.8794\n",
            "Epoch 2908/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1741 - val_loss: 7.7452\n",
            "Epoch 2909/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.2683 - val_loss: 7.6590\n",
            "Epoch 2910/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9049 - val_loss: 7.6408\n",
            "Epoch 2911/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8616 - val_loss: 7.6402\n",
            "Epoch 2912/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1847 - val_loss: 7.6027\n",
            "Epoch 2913/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.8282 - val_loss: 7.6730\n",
            "Epoch 2914/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0189 - val_loss: 7.7293\n",
            "Epoch 2915/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.9909 - val_loss: 7.7583\n",
            "Epoch 2916/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1775 - val_loss: 7.8039\n",
            "Epoch 2917/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.0511 - val_loss: 7.8390\n",
            "Epoch 2918/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8491 - val_loss: 7.8560\n",
            "Epoch 2919/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9341 - val_loss: 7.8575\n",
            "Epoch 2920/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0301 - val_loss: 7.8539\n",
            "Epoch 2921/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0025 - val_loss: 7.8377\n",
            "Epoch 2922/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8057 - val_loss: 7.8166\n",
            "Epoch 2923/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0442 - val_loss: 7.8499\n",
            "Epoch 2924/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8451 - val_loss: 7.8905\n",
            "Epoch 2925/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9202 - val_loss: 7.8961\n",
            "Epoch 2926/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9936 - val_loss: 7.8499\n",
            "Epoch 2927/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.0507 - val_loss: 7.7693\n",
            "Epoch 2928/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.7705 - val_loss: 7.7682\n",
            "Epoch 2929/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8105 - val_loss: 7.7578\n",
            "Epoch 2930/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1099 - val_loss: 7.7607\n",
            "Epoch 2931/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.2576 - val_loss: 7.8070\n",
            "Epoch 2932/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9586 - val_loss: 7.8374\n",
            "Epoch 2933/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.0487 - val_loss: 7.8179\n",
            "Epoch 2934/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7826 - val_loss: 7.7915\n",
            "Epoch 2935/3000\n",
            "2/2 [==============================] - 0s 22ms/step - loss: 1.9551 - val_loss: 7.7467\n",
            "Epoch 2936/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.8786 - val_loss: 7.7376\n",
            "Epoch 2937/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.9368 - val_loss: 7.7704\n",
            "Epoch 2938/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8567 - val_loss: 7.8590\n",
            "Epoch 2939/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9992 - val_loss: 7.9366\n",
            "Epoch 2940/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9419 - val_loss: 7.9611\n",
            "Epoch 2941/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.9232 - val_loss: 7.9461\n",
            "Epoch 2942/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1346 - val_loss: 7.8303\n",
            "Epoch 2943/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0192 - val_loss: 7.7431\n",
            "Epoch 2944/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.7401 - val_loss: 7.7051\n",
            "Epoch 2945/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8277 - val_loss: 7.6883\n",
            "Epoch 2946/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.1554 - val_loss: 7.6722\n",
            "Epoch 2947/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7656 - val_loss: 7.6431\n",
            "Epoch 2948/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.7952 - val_loss: 7.6169\n",
            "Epoch 2949/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9696 - val_loss: 7.6581\n",
            "Epoch 2950/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8773 - val_loss: 7.7539\n",
            "Epoch 2951/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8310 - val_loss: 7.8856\n",
            "Epoch 2952/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9408 - val_loss: 7.9595\n",
            "Epoch 2953/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9670 - val_loss: 7.9588\n",
            "Epoch 2954/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8087 - val_loss: 7.9464\n",
            "Epoch 2955/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0245 - val_loss: 7.9680\n",
            "Epoch 2956/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.7134 - val_loss: 8.0342\n",
            "Epoch 2957/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.0734 - val_loss: 8.1072\n",
            "Epoch 2958/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.7237 - val_loss: 8.0746\n",
            "Epoch 2959/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.6680 - val_loss: 7.9936\n",
            "Epoch 2960/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 1.8755 - val_loss: 7.8917\n",
            "Epoch 2961/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9627 - val_loss: 7.8616\n",
            "Epoch 2962/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8571 - val_loss: 7.8460\n",
            "Epoch 2963/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9062 - val_loss: 7.8615\n",
            "Epoch 2964/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7918 - val_loss: 7.8874\n",
            "Epoch 2965/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 1.8441 - val_loss: 7.8760\n",
            "Epoch 2966/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.6519 - val_loss: 7.8535\n",
            "Epoch 2967/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7203 - val_loss: 7.8379\n",
            "Epoch 2968/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7920 - val_loss: 7.8911\n",
            "Epoch 2969/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8913 - val_loss: 7.9020\n",
            "Epoch 2970/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7377 - val_loss: 7.8897\n",
            "Epoch 2971/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.0694 - val_loss: 7.8363\n",
            "Epoch 2972/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8722 - val_loss: 7.8289\n",
            "Epoch 2973/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 1.8235 - val_loss: 7.9137\n",
            "Epoch 2974/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 2.1474 - val_loss: 8.0165\n",
            "Epoch 2975/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 2.0013 - val_loss: 8.0674\n",
            "Epoch 2976/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9004 - val_loss: 8.0696\n",
            "Epoch 2977/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.9736 - val_loss: 8.0325\n",
            "Epoch 2978/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8320 - val_loss: 7.9780\n",
            "Epoch 2979/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 2.1489 - val_loss: 7.9161\n",
            "Epoch 2980/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.7424 - val_loss: 7.8581\n",
            "Epoch 2981/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8053 - val_loss: 7.8067\n",
            "Epoch 2982/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7134 - val_loss: 7.8171\n",
            "Epoch 2983/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.7524 - val_loss: 7.8518\n",
            "Epoch 2984/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8491 - val_loss: 7.8629\n",
            "Epoch 2985/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.8426 - val_loss: 7.8326\n",
            "Epoch 2986/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8132 - val_loss: 7.8290\n",
            "Epoch 2987/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.7035 - val_loss: 7.8466\n",
            "Epoch 2988/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.7911 - val_loss: 7.8690\n",
            "Epoch 2989/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 2.0135 - val_loss: 7.9136\n",
            "Epoch 2990/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.9949 - val_loss: 7.9765\n",
            "Epoch 2991/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8841 - val_loss: 7.9838\n",
            "Epoch 2992/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.7002 - val_loss: 8.0617\n",
            "Epoch 2993/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.5902 - val_loss: 8.1005\n",
            "Epoch 2994/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 1.8354 - val_loss: 8.0699\n",
            "Epoch 2995/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 1.8229 - val_loss: 7.9466\n",
            "Epoch 2996/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 1.9074 - val_loss: 7.8549\n",
            "Epoch 2997/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8727 - val_loss: 7.8018\n",
            "Epoch 2998/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8280 - val_loss: 7.8050\n",
            "Epoch 2999/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 1.8294 - val_loss: 7.8625\n",
            "Epoch 3000/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 1.8893 - val_loss: 7.8709\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X7O5pTnHcH7e",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "outputId": "d8f7c28a-f833-4540-ba73-b3a8de8b4f01"
      },
      "source": [
        "def plot_history(history):\n",
        "  hist = pd.DataFrame(history.history)\n",
        "  hist['epoch'] = history.epoch\n",
        "  plt.figure()\n",
        "  plt.title('Loss vs Iterations')\n",
        "  plt.xlabel('Epoch')\n",
        "  plt.ylabel('Loss')\n",
        "  plt.plot(hist['epoch'], hist['loss'],\n",
        "           label='Train Error')\n",
        "  plt.plot(hist['epoch'], hist['val_loss'],\n",
        "           label = 'Val Error')\n",
        "  plt.ylim([0,300])\n",
        "  plt.legend()\n",
        "\n",
        "plot_history(history)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OTz-vUK0kMP8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "outputId": "3b960ed0-2de2-48af-8e79-2e90f7e9f1eb"
      },
      "source": [
        "score = model.evaluate(xtest, ytest)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "3/3 [==============================] - 0s 2ms/step - loss: 7.9842\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z6xqtttBkqFT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "a0e39336-c0e8-48ad-ed2c-edd4045e4a79"
      },
      "source": [
        "es = keras.callbacks.EarlyStopping(monitor='val_loss', mode='min', patience=20)\n",
        "model = build_model()\n",
        "history = model.fit(xtrain, ytrain,\n",
        "                    batch_size=150, epochs=3000, \n",
        "                    validation_split=0.2, verbose=1, callbacks=[es])\n",
        "plot_history(history)\n",
        "score = model.evaluate(xtest, ytest)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/3000\n",
            "2/2 [==============================] - 0s 34ms/step - loss: 592.1242 - val_loss: 623.4442\n",
            "Epoch 2/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 581.2153 - val_loss: 610.4339\n",
            "Epoch 3/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 573.7546 - val_loss: 597.6027\n",
            "Epoch 4/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 552.1819 - val_loss: 584.9013\n",
            "Epoch 5/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 553.5897 - val_loss: 572.3660\n",
            "Epoch 6/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 546.0450 - val_loss: 559.9091\n",
            "Epoch 7/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 530.8165 - val_loss: 547.5398\n",
            "Epoch 8/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 514.2559 - val_loss: 535.2136\n",
            "Epoch 9/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 510.4335 - val_loss: 523.0175\n",
            "Epoch 10/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 494.9282 - val_loss: 510.9038\n",
            "Epoch 11/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 476.9297 - val_loss: 498.9001\n",
            "Epoch 12/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 465.8624 - val_loss: 487.0868\n",
            "Epoch 13/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 459.0989 - val_loss: 475.5235\n",
            "Epoch 14/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 446.8297 - val_loss: 464.2022\n",
            "Epoch 15/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 441.7498 - val_loss: 453.2039\n",
            "Epoch 16/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 422.8161 - val_loss: 442.5291\n",
            "Epoch 17/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 414.0534 - val_loss: 432.2522\n",
            "Epoch 18/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 409.0743 - val_loss: 422.3997\n",
            "Epoch 19/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 388.5105 - val_loss: 412.9947\n",
            "Epoch 20/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 385.7108 - val_loss: 404.0884\n",
            "Epoch 21/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 375.9538 - val_loss: 395.6546\n",
            "Epoch 22/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 373.5554 - val_loss: 387.6927\n",
            "Epoch 23/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 361.4533 - val_loss: 380.1726\n",
            "Epoch 24/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 360.0026 - val_loss: 373.0987\n",
            "Epoch 25/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 346.4983 - val_loss: 366.4369\n",
            "Epoch 26/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 349.9553 - val_loss: 360.1791\n",
            "Epoch 27/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 335.7416 - val_loss: 354.2754\n",
            "Epoch 28/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 333.2570 - val_loss: 348.7168\n",
            "Epoch 29/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 323.7986 - val_loss: 343.4717\n",
            "Epoch 30/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 310.3288 - val_loss: 338.5211\n",
            "Epoch 31/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 326.6080 - val_loss: 333.8554\n",
            "Epoch 32/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 307.0691 - val_loss: 329.4141\n",
            "Epoch 33/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 299.5839 - val_loss: 325.1964\n",
            "Epoch 34/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 299.0699 - val_loss: 321.1880\n",
            "Epoch 35/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 300.1359 - val_loss: 317.3628\n",
            "Epoch 36/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 294.3128 - val_loss: 313.7025\n",
            "Epoch 37/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 287.2311 - val_loss: 310.1855\n",
            "Epoch 38/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 284.7657 - val_loss: 306.8098\n",
            "Epoch 39/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 277.0881 - val_loss: 303.5595\n",
            "Epoch 40/3000\n",
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            "Epoch 548/3000\n",
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            "Epoch 559/3000\n",
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            "Epoch 560/3000\n",
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            "Epoch 561/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 18.7748 - val_loss: 23.8426\n",
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            "Epoch 563/3000\n",
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            "Epoch 564/3000\n",
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            "Epoch 565/3000\n",
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            "Epoch 566/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 17.8954 - val_loss: 23.5755\n",
            "Epoch 567/3000\n",
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            "Epoch 568/3000\n",
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            "Epoch 569/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 19.0145 - val_loss: 23.4043\n",
            "Epoch 570/3000\n",
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            "Epoch 571/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 18.5580 - val_loss: 23.2974\n",
            "Epoch 572/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 18.0411 - val_loss: 23.2468\n",
            "Epoch 573/3000\n",
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            "Epoch 574/3000\n",
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            "Epoch 575/3000\n",
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            "Epoch 576/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 17.5631 - val_loss: 23.0340\n",
            "Epoch 577/3000\n",
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            "Epoch 578/3000\n",
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            "Epoch 579/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 17.6301 - val_loss: 22.8558\n",
            "Epoch 580/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 18.2429 - val_loss: 22.7983\n",
            "Epoch 581/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 18.0472 - val_loss: 22.7456\n",
            "Epoch 582/3000\n",
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            "Epoch 583/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 18.0838 - val_loss: 22.6544\n",
            "Epoch 584/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 16.3780 - val_loss: 22.6073\n",
            "Epoch 585/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 18.2289 - val_loss: 22.5593\n",
            "Epoch 586/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 18.2166 - val_loss: 22.5087\n",
            "Epoch 587/3000\n",
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            "Epoch 588/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 18.3599 - val_loss: 22.4133\n",
            "Epoch 589/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 17.7946 - val_loss: 22.3634\n",
            "Epoch 590/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 17.5433 - val_loss: 22.3137\n",
            "Epoch 591/3000\n",
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            "Epoch 592/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 17.2722 - val_loss: 22.2166\n",
            "Epoch 593/3000\n",
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            "Epoch 594/3000\n",
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            "Epoch 595/3000\n",
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            "Epoch 596/3000\n",
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            "Epoch 597/3000\n",
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            "Epoch 598/3000\n",
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            "Epoch 599/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 16.7220 - val_loss: 21.8922\n",
            "Epoch 600/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 17.6951 - val_loss: 21.8402\n",
            "Epoch 601/3000\n",
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            "Epoch 602/3000\n",
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            "Epoch 603/3000\n",
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            "Epoch 604/3000\n",
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            "Epoch 605/3000\n",
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            "Epoch 607/3000\n",
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            "Epoch 608/3000\n",
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            "Epoch 609/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 17.7225 - val_loss: 21.4115\n",
            "Epoch 610/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 16.1502 - val_loss: 21.3611\n",
            "Epoch 611/3000\n",
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            "Epoch 614/3000\n",
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            "Epoch 615/3000\n",
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            "Epoch 616/3000\n",
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            "Epoch 618/3000\n",
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            "Epoch 619/3000\n",
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            "Epoch 620/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 17.1210 - val_loss: 20.9792\n",
            "Epoch 621/3000\n",
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            "Epoch 622/3000\n",
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            "Epoch 624/3000\n",
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            "Epoch 628/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 15.8619 - val_loss: 20.6887\n",
            "Epoch 629/3000\n",
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            "Epoch 631/3000\n",
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            "Epoch 633/3000\n",
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            "Epoch 634/3000\n",
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            "Epoch 635/3000\n",
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            "Epoch 636/3000\n",
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            "Epoch 637/3000\n",
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            "Epoch 638/3000\n",
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            "Epoch 639/3000\n",
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            "Epoch 640/3000\n",
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            "Epoch 641/3000\n",
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            "Epoch 643/3000\n",
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            "Epoch 644/3000\n",
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            "Epoch 647/3000\n",
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            "2/2 [==============================] - 0s 18ms/step - loss: 15.8757 - val_loss: 19.9712\n",
            "Epoch 649/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 16.6434 - val_loss: 19.9327\n",
            "Epoch 650/3000\n",
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            "Epoch 651/3000\n",
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            "Epoch 652/3000\n",
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            "Epoch 653/3000\n",
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            "Epoch 654/3000\n",
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            "Epoch 655/3000\n",
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            "Epoch 656/3000\n",
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            "Epoch 657/3000\n",
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            "Epoch 658/3000\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 15.6005 - val_loss: 19.6445\n",
            "Epoch 659/3000\n",
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            "Epoch 660/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 16.1040 - val_loss: 19.5886\n",
            "Epoch 661/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.9116 - val_loss: 19.5592\n",
            "Epoch 662/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.9944 - val_loss: 19.5272\n",
            "Epoch 663/3000\n",
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            "Epoch 664/3000\n",
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            "Epoch 665/3000\n",
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            "Epoch 666/3000\n",
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            "Epoch 667/3000\n",
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            "Epoch 668/3000\n",
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            "Epoch 669/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.6683 - val_loss: 19.3250\n",
            "Epoch 670/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 16.1241 - val_loss: 19.2966\n",
            "Epoch 671/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 15.4649 - val_loss: 19.2655\n",
            "Epoch 672/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.4466 - val_loss: 19.2319\n",
            "Epoch 673/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.1227 - val_loss: 19.2012\n",
            "Epoch 674/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.4246 - val_loss: 19.1707\n",
            "Epoch 675/3000\n",
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            "Epoch 676/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.3766 - val_loss: 19.1086\n",
            "Epoch 677/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 15.7650 - val_loss: 19.0824\n",
            "Epoch 678/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.9842 - val_loss: 19.0625\n",
            "Epoch 679/3000\n",
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            "Epoch 680/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.0674 - val_loss: 19.0255\n",
            "Epoch 681/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 16.0844 - val_loss: 19.0040\n",
            "Epoch 682/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.5490 - val_loss: 18.9797\n",
            "Epoch 683/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.3104 - val_loss: 18.9480\n",
            "Epoch 684/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.2425 - val_loss: 18.9130\n",
            "Epoch 685/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.2323 - val_loss: 18.8799\n",
            "Epoch 686/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.4218 - val_loss: 18.8495\n",
            "Epoch 687/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.8172 - val_loss: 18.8134\n",
            "Epoch 688/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.1100 - val_loss: 18.7830\n",
            "Epoch 689/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.7008 - val_loss: 18.7538\n",
            "Epoch 690/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.0767 - val_loss: 18.7251\n",
            "Epoch 691/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.9644 - val_loss: 18.6966\n",
            "Epoch 692/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.4811 - val_loss: 18.6737\n",
            "Epoch 693/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.5193 - val_loss: 18.6514\n",
            "Epoch 694/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.8371 - val_loss: 18.6305\n",
            "Epoch 695/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.6071 - val_loss: 18.6142\n",
            "Epoch 696/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.3331 - val_loss: 18.5959\n",
            "Epoch 697/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 14.7763 - val_loss: 18.5797\n",
            "Epoch 698/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 15.2406 - val_loss: 18.5668\n",
            "Epoch 699/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.4123 - val_loss: 18.5491\n",
            "Epoch 700/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.8702 - val_loss: 18.5196\n",
            "Epoch 701/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.6721 - val_loss: 18.4890\n",
            "Epoch 702/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.1487 - val_loss: 18.4572\n",
            "Epoch 703/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.9697 - val_loss: 18.4279\n",
            "Epoch 704/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.7717 - val_loss: 18.4053\n",
            "Epoch 705/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.1695 - val_loss: 18.3834\n",
            "Epoch 706/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.3987 - val_loss: 18.3622\n",
            "Epoch 707/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 14.4383 - val_loss: 18.3391\n",
            "Epoch 708/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.3153 - val_loss: 18.3197\n",
            "Epoch 709/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 15.3949 - val_loss: 18.2998\n",
            "Epoch 710/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.4110 - val_loss: 18.2747\n",
            "Epoch 711/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.9064 - val_loss: 18.2461\n",
            "Epoch 712/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.1161 - val_loss: 18.2179\n",
            "Epoch 713/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.4174 - val_loss: 18.1935\n",
            "Epoch 714/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.9641 - val_loss: 18.1699\n",
            "Epoch 715/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.6053 - val_loss: 18.1449\n",
            "Epoch 716/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 14.0778 - val_loss: 18.1201\n",
            "Epoch 717/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 15.3047 - val_loss: 18.0951\n",
            "Epoch 718/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.6164 - val_loss: 18.0754\n",
            "Epoch 719/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 15.2307 - val_loss: 18.0623\n",
            "Epoch 720/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.3454 - val_loss: 18.0479\n",
            "Epoch 721/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 14.6546 - val_loss: 18.0301\n",
            "Epoch 722/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.8582 - val_loss: 18.0104\n",
            "Epoch 723/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.3028 - val_loss: 17.9905\n",
            "Epoch 724/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.1806 - val_loss: 17.9717\n",
            "Epoch 725/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.3612 - val_loss: 17.9569\n",
            "Epoch 726/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 15.3041 - val_loss: 17.9425\n",
            "Epoch 727/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 15.1576 - val_loss: 17.9168\n",
            "Epoch 728/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.4041 - val_loss: 17.8899\n",
            "Epoch 729/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.3823 - val_loss: 17.8667\n",
            "Epoch 730/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.1969 - val_loss: 17.8426\n",
            "Epoch 731/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.6609 - val_loss: 17.8243\n",
            "Epoch 732/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 15.2292 - val_loss: 17.8087\n",
            "Epoch 733/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 15.3827 - val_loss: 17.7931\n",
            "Epoch 734/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.2550 - val_loss: 17.7819\n",
            "Epoch 735/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.5609 - val_loss: 17.7735\n",
            "Epoch 736/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 14.6554 - val_loss: 17.7574\n",
            "Epoch 737/3000\n",
            "2/2 [==============================] - 0s 99ms/step - loss: 14.5810 - val_loss: 17.7401\n",
            "Epoch 738/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 14.6112 - val_loss: 17.7186\n",
            "Epoch 739/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.9437 - val_loss: 17.7012\n",
            "Epoch 740/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.1901 - val_loss: 17.6893\n",
            "Epoch 741/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.5182 - val_loss: 17.6781\n",
            "Epoch 742/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.7021 - val_loss: 17.6564\n",
            "Epoch 743/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.4107 - val_loss: 17.6323\n",
            "Epoch 744/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 14.3519 - val_loss: 17.6115\n",
            "Epoch 745/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.7837 - val_loss: 17.5939\n",
            "Epoch 746/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 14.3543 - val_loss: 17.5756\n",
            "Epoch 747/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.7172 - val_loss: 17.5559\n",
            "Epoch 748/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.0649 - val_loss: 17.5361\n",
            "Epoch 749/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 13.9097 - val_loss: 17.5184\n",
            "Epoch 750/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.4944 - val_loss: 17.4986\n",
            "Epoch 751/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 14.6454 - val_loss: 17.4795\n",
            "Epoch 752/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 13.7142 - val_loss: 17.4582\n",
            "Epoch 753/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.6889 - val_loss: 17.4319\n",
            "Epoch 754/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 13.5956 - val_loss: 17.4030\n",
            "Epoch 755/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 13.2262 - val_loss: 17.3752\n",
            "Epoch 756/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.2764 - val_loss: 17.3486\n",
            "Epoch 757/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.5705 - val_loss: 17.3235\n",
            "Epoch 758/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.0422 - val_loss: 17.2939\n",
            "Epoch 759/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 14.0035 - val_loss: 17.2517\n",
            "Epoch 760/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.4520 - val_loss: 17.2098\n",
            "Epoch 761/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 14.3932 - val_loss: 17.1618\n",
            "Epoch 762/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.8214 - val_loss: 17.1069\n",
            "Epoch 763/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.8382 - val_loss: 17.0546\n",
            "Epoch 764/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.0166 - val_loss: 16.9940\n",
            "Epoch 765/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 13.9391 - val_loss: 16.9315\n",
            "Epoch 766/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.4909 - val_loss: 16.8803\n",
            "Epoch 767/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.9675 - val_loss: 16.8613\n",
            "Epoch 768/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 12.9219 - val_loss: 16.8575\n",
            "Epoch 769/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.1668 - val_loss: 16.8508\n",
            "Epoch 770/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 12.7495 - val_loss: 16.8399\n",
            "Epoch 771/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 13.6726 - val_loss: 16.8342\n",
            "Epoch 772/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 13.6487 - val_loss: 16.7939\n",
            "Epoch 773/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.8224 - val_loss: 16.7415\n",
            "Epoch 774/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 13.2664 - val_loss: 16.6799\n",
            "Epoch 775/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 12.9090 - val_loss: 16.6177\n",
            "Epoch 776/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 13.3048 - val_loss: 16.5651\n",
            "Epoch 777/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.2644 - val_loss: 16.5148\n",
            "Epoch 778/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 13.0559 - val_loss: 16.4741\n",
            "Epoch 779/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.8762 - val_loss: 16.4437\n",
            "Epoch 780/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 13.0045 - val_loss: 16.4239\n",
            "Epoch 781/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 13.1146 - val_loss: 16.4060\n",
            "Epoch 782/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.7596 - val_loss: 16.3925\n",
            "Epoch 783/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.1341 - val_loss: 16.3769\n",
            "Epoch 784/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 13.0659 - val_loss: 16.3679\n",
            "Epoch 785/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.1819 - val_loss: 16.3511\n",
            "Epoch 786/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.4545 - val_loss: 16.3369\n",
            "Epoch 787/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.2503 - val_loss: 16.3190\n",
            "Epoch 788/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.4382 - val_loss: 16.2908\n",
            "Epoch 789/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.7895 - val_loss: 16.2579\n",
            "Epoch 790/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.5851 - val_loss: 16.2239\n",
            "Epoch 791/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.5201 - val_loss: 16.2003\n",
            "Epoch 792/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.2593 - val_loss: 16.1732\n",
            "Epoch 793/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.7846 - val_loss: 16.1463\n",
            "Epoch 794/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 13.2788 - val_loss: 16.1289\n",
            "Epoch 795/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 13.3385 - val_loss: 16.1078\n",
            "Epoch 796/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.4368 - val_loss: 16.0872\n",
            "Epoch 797/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.6284 - val_loss: 16.0763\n",
            "Epoch 798/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 12.6300 - val_loss: 16.0606\n",
            "Epoch 799/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.1391 - val_loss: 16.0425\n",
            "Epoch 800/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.0891 - val_loss: 16.0263\n",
            "Epoch 801/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.8717 - val_loss: 16.0103\n",
            "Epoch 802/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.9656 - val_loss: 15.9934\n",
            "Epoch 803/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 12.5953 - val_loss: 15.9814\n",
            "Epoch 804/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 12.3438 - val_loss: 15.9628\n",
            "Epoch 805/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 12.1847 - val_loss: 15.9512\n",
            "Epoch 806/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.9023 - val_loss: 15.9339\n",
            "Epoch 807/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.0586 - val_loss: 15.9101\n",
            "Epoch 808/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.3034 - val_loss: 15.8859\n",
            "Epoch 809/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 12.3696 - val_loss: 15.8605\n",
            "Epoch 810/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 11.9351 - val_loss: 15.8228\n",
            "Epoch 811/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.7614 - val_loss: 15.7779\n",
            "Epoch 812/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.5896 - val_loss: 15.7441\n",
            "Epoch 813/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 12.3721 - val_loss: 15.7169\n",
            "Epoch 814/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.3773 - val_loss: 15.6971\n",
            "Epoch 815/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.4515 - val_loss: 15.6897\n",
            "Epoch 816/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.1017 - val_loss: 15.6805\n",
            "Epoch 817/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.0683 - val_loss: 15.6691\n",
            "Epoch 818/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.6783 - val_loss: 15.6623\n",
            "Epoch 819/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.8131 - val_loss: 15.6511\n",
            "Epoch 820/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 13.2456 - val_loss: 15.6254\n",
            "Epoch 821/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.3701 - val_loss: 15.6040\n",
            "Epoch 822/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 12.5079 - val_loss: 15.5825\n",
            "Epoch 823/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 12.8294 - val_loss: 15.5598\n",
            "Epoch 824/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 12.2177 - val_loss: 15.5311\n",
            "Epoch 825/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 11.8558 - val_loss: 15.4990\n",
            "Epoch 826/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 11.8085 - val_loss: 15.4535\n",
            "Epoch 827/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.5215 - val_loss: 15.4040\n",
            "Epoch 828/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.4369 - val_loss: 15.3465\n",
            "Epoch 829/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.4869 - val_loss: 15.2901\n",
            "Epoch 830/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.5123 - val_loss: 15.2296\n",
            "Epoch 831/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.4257 - val_loss: 15.1785\n",
            "Epoch 832/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.8207 - val_loss: 15.1364\n",
            "Epoch 833/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 11.9046 - val_loss: 15.1120\n",
            "Epoch 834/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.9668 - val_loss: 15.0988\n",
            "Epoch 835/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 10.9107 - val_loss: 15.0791\n",
            "Epoch 836/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.4558 - val_loss: 15.0491\n",
            "Epoch 837/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.9206 - val_loss: 15.0151\n",
            "Epoch 838/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.5946 - val_loss: 14.9612\n",
            "Epoch 839/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.9942 - val_loss: 14.9054\n",
            "Epoch 840/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.2725 - val_loss: 14.8463\n",
            "Epoch 841/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.2009 - val_loss: 14.8062\n",
            "Epoch 842/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 10.8103 - val_loss: 14.7527\n",
            "Epoch 843/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.0319 - val_loss: 14.6990\n",
            "Epoch 844/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.0255 - val_loss: 14.6340\n",
            "Epoch 845/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.2359 - val_loss: 14.5671\n",
            "Epoch 846/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.6672 - val_loss: 14.5088\n",
            "Epoch 847/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.8373 - val_loss: 14.4529\n",
            "Epoch 848/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.5142 - val_loss: 14.4125\n",
            "Epoch 849/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.0449 - val_loss: 14.3718\n",
            "Epoch 850/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 11.2805 - val_loss: 14.3438\n",
            "Epoch 851/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.1101 - val_loss: 14.3292\n",
            "Epoch 852/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 11.0955 - val_loss: 14.3271\n",
            "Epoch 853/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 10.5515 - val_loss: 14.2900\n",
            "Epoch 854/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.6211 - val_loss: 14.2434\n",
            "Epoch 855/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.2013 - val_loss: 14.1836\n",
            "Epoch 856/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.7632 - val_loss: 14.1274\n",
            "Epoch 857/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.8600 - val_loss: 14.0676\n",
            "Epoch 858/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.7203 - val_loss: 14.0045\n",
            "Epoch 859/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.4015 - val_loss: 13.9428\n",
            "Epoch 860/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.2956 - val_loss: 13.8878\n",
            "Epoch 861/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 10.5190 - val_loss: 13.8542\n",
            "Epoch 862/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 10.4594 - val_loss: 13.8307\n",
            "Epoch 863/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 11.1170 - val_loss: 13.8049\n",
            "Epoch 864/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.8618 - val_loss: 13.8004\n",
            "Epoch 865/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.1017 - val_loss: 13.7977\n",
            "Epoch 866/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.1028 - val_loss: 13.7817\n",
            "Epoch 867/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.1014 - val_loss: 13.7538\n",
            "Epoch 868/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.8595 - val_loss: 13.7206\n",
            "Epoch 869/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.6064 - val_loss: 13.7000\n",
            "Epoch 870/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.2124 - val_loss: 13.6704\n",
            "Epoch 871/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 9.9981 - val_loss: 13.6328\n",
            "Epoch 872/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.2077 - val_loss: 13.5684\n",
            "Epoch 873/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.7904 - val_loss: 13.5108\n",
            "Epoch 874/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.7819 - val_loss: 13.4579\n",
            "Epoch 875/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 11.0366 - val_loss: 13.4049\n",
            "Epoch 876/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.2555 - val_loss: 13.3513\n",
            "Epoch 877/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.4516 - val_loss: 13.3123\n",
            "Epoch 878/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.6351 - val_loss: 13.2943\n",
            "Epoch 879/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.9438 - val_loss: 13.2869\n",
            "Epoch 880/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.9451 - val_loss: 13.2774\n",
            "Epoch 881/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 9.3221 - val_loss: 13.2303\n",
            "Epoch 882/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 9.5460 - val_loss: 13.1783\n",
            "Epoch 883/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 9.6942 - val_loss: 13.1400\n",
            "Epoch 884/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.9080 - val_loss: 13.1089\n",
            "Epoch 885/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.2909 - val_loss: 13.0755\n",
            "Epoch 886/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.4187 - val_loss: 13.0442\n",
            "Epoch 887/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.4538 - val_loss: 12.9897\n",
            "Epoch 888/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 10.0967 - val_loss: 12.9512\n",
            "Epoch 889/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.2374 - val_loss: 12.9094\n",
            "Epoch 890/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.7786 - val_loss: 12.8724\n",
            "Epoch 891/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 9.7735 - val_loss: 12.8418\n",
            "Epoch 892/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.1036 - val_loss: 12.8068\n",
            "Epoch 893/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 10.0409 - val_loss: 12.7713\n",
            "Epoch 894/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.7488 - val_loss: 12.7180\n",
            "Epoch 895/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.0858 - val_loss: 12.6513\n",
            "Epoch 896/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.8932 - val_loss: 12.5983\n",
            "Epoch 897/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.5413 - val_loss: 12.5356\n",
            "Epoch 898/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.5345 - val_loss: 12.4989\n",
            "Epoch 899/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 9.5392 - val_loss: 12.4540\n",
            "Epoch 900/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 9.4192 - val_loss: 12.4108\n",
            "Epoch 901/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.1619 - val_loss: 12.3848\n",
            "Epoch 902/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 10.0461 - val_loss: 12.3556\n",
            "Epoch 903/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 9.3208 - val_loss: 12.3370\n",
            "Epoch 904/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 9.1214 - val_loss: 12.3166\n",
            "Epoch 905/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 9.1167 - val_loss: 12.2994\n",
            "Epoch 906/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.5976 - val_loss: 12.2868\n",
            "Epoch 907/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.1755 - val_loss: 12.2575\n",
            "Epoch 908/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 9.2873 - val_loss: 12.2414\n",
            "Epoch 909/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 9.0269 - val_loss: 12.2063\n",
            "Epoch 910/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 9.9162 - val_loss: 12.1704\n",
            "Epoch 911/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 9.4522 - val_loss: 12.1214\n",
            "Epoch 912/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.8458 - val_loss: 12.0707\n",
            "Epoch 913/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.2637 - val_loss: 12.0507\n",
            "Epoch 914/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.7580 - val_loss: 12.0378\n",
            "Epoch 915/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.7758 - val_loss: 12.0300\n",
            "Epoch 916/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.7617 - val_loss: 12.0180\n",
            "Epoch 917/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.0489 - val_loss: 12.0052\n",
            "Epoch 918/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 8.7625 - val_loss: 11.9782\n",
            "Epoch 919/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 9.6788 - val_loss: 11.9438\n",
            "Epoch 920/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 9.3913 - val_loss: 11.9112\n",
            "Epoch 921/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.0564 - val_loss: 11.8804\n",
            "Epoch 922/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.5802 - val_loss: 11.8537\n",
            "Epoch 923/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.5611 - val_loss: 11.8240\n",
            "Epoch 924/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 9.4008 - val_loss: 11.7891\n",
            "Epoch 925/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.9915 - val_loss: 11.7570\n",
            "Epoch 926/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.1690 - val_loss: 11.7400\n",
            "Epoch 927/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.1907 - val_loss: 11.7439\n",
            "Epoch 928/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.8568 - val_loss: 11.7361\n",
            "Epoch 929/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 8.5213 - val_loss: 11.7185\n",
            "Epoch 930/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.5859 - val_loss: 11.7038\n",
            "Epoch 931/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.8699 - val_loss: 11.6945\n",
            "Epoch 932/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.6881 - val_loss: 11.6645\n",
            "Epoch 933/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.4291 - val_loss: 11.6289\n",
            "Epoch 934/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.3647 - val_loss: 11.5907\n",
            "Epoch 935/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.3667 - val_loss: 11.5586\n",
            "Epoch 936/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 8.3341 - val_loss: 11.5232\n",
            "Epoch 937/3000\n",
            "2/2 [==============================] - 0s 21ms/step - loss: 8.7748 - val_loss: 11.4971\n",
            "Epoch 938/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.2950 - val_loss: 11.4731\n",
            "Epoch 939/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 8.2364 - val_loss: 11.4645\n",
            "Epoch 940/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.4357 - val_loss: 11.4480\n",
            "Epoch 941/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.5862 - val_loss: 11.4488\n",
            "Epoch 942/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.1179 - val_loss: 11.4332\n",
            "Epoch 943/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.0029 - val_loss: 11.4088\n",
            "Epoch 944/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.1785 - val_loss: 11.3891\n",
            "Epoch 945/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 9.0588 - val_loss: 11.3746\n",
            "Epoch 946/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 8.6865 - val_loss: 11.3439\n",
            "Epoch 947/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.2818 - val_loss: 11.3021\n",
            "Epoch 948/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.6320 - val_loss: 11.2642\n",
            "Epoch 949/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 8.4048 - val_loss: 11.2318\n",
            "Epoch 950/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.0787 - val_loss: 11.1886\n",
            "Epoch 951/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.7165 - val_loss: 11.1296\n",
            "Epoch 952/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.3096 - val_loss: 11.0848\n",
            "Epoch 953/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.8457 - val_loss: 11.0566\n",
            "Epoch 954/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.5096 - val_loss: 11.0478\n",
            "Epoch 955/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.3732 - val_loss: 11.0384\n",
            "Epoch 956/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.2039 - val_loss: 11.0467\n",
            "Epoch 957/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 8.4242 - val_loss: 11.0359\n",
            "Epoch 958/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.0861 - val_loss: 11.0161\n",
            "Epoch 959/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.6801 - val_loss: 10.9835\n",
            "Epoch 960/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.3563 - val_loss: 10.9640\n",
            "Epoch 961/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 8.1538 - val_loss: 10.9365\n",
            "Epoch 962/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.0665 - val_loss: 10.9124\n",
            "Epoch 963/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.6655 - val_loss: 10.8798\n",
            "Epoch 964/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.3879 - val_loss: 10.8283\n",
            "Epoch 965/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 7.6420 - val_loss: 10.7859\n",
            "Epoch 966/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.3967 - val_loss: 10.7577\n",
            "Epoch 967/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.7241 - val_loss: 10.7439\n",
            "Epoch 968/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 7.7863 - val_loss: 10.7429\n",
            "Epoch 969/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.5961 - val_loss: 10.7411\n",
            "Epoch 970/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.7418 - val_loss: 10.7328\n",
            "Epoch 971/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.9596 - val_loss: 10.7247\n",
            "Epoch 972/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 7.9012 - val_loss: 10.7363\n",
            "Epoch 973/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.4984 - val_loss: 10.7448\n",
            "Epoch 974/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.0782 - val_loss: 10.7408\n",
            "Epoch 975/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.4139 - val_loss: 10.7301\n",
            "Epoch 976/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 8.1685 - val_loss: 10.7216\n",
            "Epoch 977/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.8916 - val_loss: 10.7179\n",
            "Epoch 978/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.8107 - val_loss: 10.7089\n",
            "Epoch 979/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.9888 - val_loss: 10.7022\n",
            "Epoch 980/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.3965 - val_loss: 10.6849\n",
            "Epoch 981/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.5442 - val_loss: 10.6561\n",
            "Epoch 982/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 8.1562 - val_loss: 10.6120\n",
            "Epoch 983/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.6910 - val_loss: 10.5639\n",
            "Epoch 984/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.0966 - val_loss: 10.5345\n",
            "Epoch 985/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.4369 - val_loss: 10.5164\n",
            "Epoch 986/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.5206 - val_loss: 10.5018\n",
            "Epoch 987/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 7.1052 - val_loss: 10.4948\n",
            "Epoch 988/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.5271 - val_loss: 10.4867\n",
            "Epoch 989/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.3329 - val_loss: 10.4677\n",
            "Epoch 990/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.8793 - val_loss: 10.4430\n",
            "Epoch 991/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.6167 - val_loss: 10.4149\n",
            "Epoch 992/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.2784 - val_loss: 10.3841\n",
            "Epoch 993/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 7.4685 - val_loss: 10.3500\n",
            "Epoch 994/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.8418 - val_loss: 10.3002\n",
            "Epoch 995/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.9696 - val_loss: 10.2550\n",
            "Epoch 996/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.7983 - val_loss: 10.2198\n",
            "Epoch 997/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 7.5703 - val_loss: 10.1928\n",
            "Epoch 998/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 8.0757 - val_loss: 10.1720\n",
            "Epoch 999/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.4662 - val_loss: 10.1515\n",
            "Epoch 1000/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.9134 - val_loss: 10.1387\n",
            "Epoch 1001/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 7.5520 - val_loss: 10.1309\n",
            "Epoch 1002/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.2424 - val_loss: 10.1346\n",
            "Epoch 1003/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.2127 - val_loss: 10.1351\n",
            "Epoch 1004/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.6437 - val_loss: 10.1440\n",
            "Epoch 1005/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.0013 - val_loss: 10.1463\n",
            "Epoch 1006/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.7314 - val_loss: 10.1428\n",
            "Epoch 1007/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 7.6118 - val_loss: 10.1265\n",
            "Epoch 1008/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.0818 - val_loss: 10.0980\n",
            "Epoch 1009/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.2477 - val_loss: 10.0699\n",
            "Epoch 1010/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.3197 - val_loss: 10.0514\n",
            "Epoch 1011/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.0510 - val_loss: 10.0357\n",
            "Epoch 1012/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 7.1199 - val_loss: 10.0200\n",
            "Epoch 1013/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.2339 - val_loss: 10.0069\n",
            "Epoch 1014/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.5552 - val_loss: 10.0016\n",
            "Epoch 1015/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.5573 - val_loss: 9.9907\n",
            "Epoch 1016/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 7.1222 - val_loss: 9.9679\n",
            "Epoch 1017/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.0001 - val_loss: 9.9276\n",
            "Epoch 1018/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.4059 - val_loss: 9.8889\n",
            "Epoch 1019/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.3160 - val_loss: 9.8536\n",
            "Epoch 1020/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.3443 - val_loss: 9.8197\n",
            "Epoch 1021/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.4088 - val_loss: 9.7840\n",
            "Epoch 1022/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.9696 - val_loss: 9.7612\n",
            "Epoch 1023/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.0909 - val_loss: 9.7471\n",
            "Epoch 1024/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.0226 - val_loss: 9.7439\n",
            "Epoch 1025/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.7027 - val_loss: 9.7417\n",
            "Epoch 1026/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.7987 - val_loss: 9.7325\n",
            "Epoch 1027/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.9154 - val_loss: 9.7203\n",
            "Epoch 1028/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.0808 - val_loss: 9.7043\n",
            "Epoch 1029/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 7.3600 - val_loss: 9.7013\n",
            "Epoch 1030/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.7837 - val_loss: 9.7027\n",
            "Epoch 1031/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.4219 - val_loss: 9.7180\n",
            "Epoch 1032/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.3369 - val_loss: 9.7448\n",
            "Epoch 1033/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.9312 - val_loss: 9.7759\n",
            "Epoch 1034/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.6364 - val_loss: 9.7916\n",
            "Epoch 1035/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.9788 - val_loss: 9.7852\n",
            "Epoch 1036/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 7.4896 - val_loss: 9.7627\n",
            "Epoch 1037/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.0382 - val_loss: 9.7308\n",
            "Epoch 1038/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.0692 - val_loss: 9.6938\n",
            "Epoch 1039/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.4022 - val_loss: 9.6595\n",
            "Epoch 1040/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.0209 - val_loss: 9.6301\n",
            "Epoch 1041/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.1568 - val_loss: 9.6013\n",
            "Epoch 1042/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.3986 - val_loss: 9.5807\n",
            "Epoch 1043/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.2201 - val_loss: 9.5763\n",
            "Epoch 1044/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.5044 - val_loss: 9.5606\n",
            "Epoch 1045/3000\n",
            "2/2 [==============================] - 0s 20ms/step - loss: 6.7888 - val_loss: 9.5199\n",
            "Epoch 1046/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.2031 - val_loss: 9.4932\n",
            "Epoch 1047/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.2480 - val_loss: 9.4704\n",
            "Epoch 1048/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.2521 - val_loss: 9.4631\n",
            "Epoch 1049/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.9982 - val_loss: 9.4585\n",
            "Epoch 1050/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 6.8900 - val_loss: 9.4484\n",
            "Epoch 1051/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.9663 - val_loss: 9.4404\n",
            "Epoch 1052/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 7.0053 - val_loss: 9.4224\n",
            "Epoch 1053/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 7.0300 - val_loss: 9.4062\n",
            "Epoch 1054/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.6683 - val_loss: 9.4037\n",
            "Epoch 1055/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.0062 - val_loss: 9.4078\n",
            "Epoch 1056/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 6.3024 - val_loss: 9.4136\n",
            "Epoch 1057/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.9039 - val_loss: 9.4188\n",
            "Epoch 1058/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.5798 - val_loss: 9.4166\n",
            "Epoch 1059/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.7268 - val_loss: 9.4150\n",
            "Epoch 1060/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.2136 - val_loss: 9.4098\n",
            "Epoch 1061/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.2745 - val_loss: 9.4094\n",
            "Epoch 1062/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.8461 - val_loss: 9.4044\n",
            "Epoch 1063/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.0485 - val_loss: 9.3938\n",
            "Epoch 1064/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.9871 - val_loss: 9.3813\n",
            "Epoch 1065/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.3150 - val_loss: 9.3711\n",
            "Epoch 1066/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1836 - val_loss: 9.3568\n",
            "Epoch 1067/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1249 - val_loss: 9.3428\n",
            "Epoch 1068/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8820 - val_loss: 9.3255\n",
            "Epoch 1069/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.4803 - val_loss: 9.2989\n",
            "Epoch 1070/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.0141 - val_loss: 9.2624\n",
            "Epoch 1071/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.2195 - val_loss: 9.2349\n",
            "Epoch 1072/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.4370 - val_loss: 9.2126\n",
            "Epoch 1073/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.2365 - val_loss: 9.2011\n",
            "Epoch 1074/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.2336 - val_loss: 9.1983\n",
            "Epoch 1075/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.3493 - val_loss: 9.1956\n",
            "Epoch 1076/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.7042 - val_loss: 9.2051\n",
            "Epoch 1077/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.6033 - val_loss: 9.2094\n",
            "Epoch 1078/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.5465 - val_loss: 9.2157\n",
            "Epoch 1079/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.7941 - val_loss: 9.2095\n",
            "Epoch 1080/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.6372 - val_loss: 9.2159\n",
            "Epoch 1081/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.2897 - val_loss: 9.2133\n",
            "Epoch 1082/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1797 - val_loss: 9.2042\n",
            "Epoch 1083/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 6.0914 - val_loss: 9.2014\n",
            "Epoch 1084/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.7269 - val_loss: 9.2070\n",
            "Epoch 1085/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 6.0440 - val_loss: 9.1976\n",
            "Epoch 1086/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.4024 - val_loss: 9.1845\n",
            "Epoch 1087/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.3546 - val_loss: 9.1708\n",
            "Epoch 1088/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.1491 - val_loss: 9.1490\n",
            "Epoch 1089/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1770 - val_loss: 9.1268\n",
            "Epoch 1090/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 5.8715 - val_loss: 9.1187\n",
            "Epoch 1091/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.9083 - val_loss: 9.1203\n",
            "Epoch 1092/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 5.7753 - val_loss: 9.1131\n",
            "Epoch 1093/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.4215 - val_loss: 9.1083\n",
            "Epoch 1094/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.4092 - val_loss: 9.1010\n",
            "Epoch 1095/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.0728 - val_loss: 9.1005\n",
            "Epoch 1096/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.3029 - val_loss: 9.0898\n",
            "Epoch 1097/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 6.0224 - val_loss: 9.0608\n",
            "Epoch 1098/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 6.1908 - val_loss: 9.0375\n",
            "Epoch 1099/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.0020 - val_loss: 9.0247\n",
            "Epoch 1100/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.9610 - val_loss: 9.0175\n",
            "Epoch 1101/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.9845 - val_loss: 9.0205\n",
            "Epoch 1102/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.3862 - val_loss: 9.0247\n",
            "Epoch 1103/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 6.2737 - val_loss: 9.0180\n",
            "Epoch 1104/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1276 - val_loss: 9.0047\n",
            "Epoch 1105/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.2710 - val_loss: 8.9961\n",
            "Epoch 1106/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 6.2212 - val_loss: 8.9850\n",
            "Epoch 1107/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.9590 - val_loss: 8.9702\n",
            "Epoch 1108/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8364 - val_loss: 8.9621\n",
            "Epoch 1109/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.9487 - val_loss: 8.9607\n",
            "Epoch 1110/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.7333 - val_loss: 8.9531\n",
            "Epoch 1111/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.4984 - val_loss: 8.9428\n",
            "Epoch 1112/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1807 - val_loss: 8.9332\n",
            "Epoch 1113/3000\n",
            "2/2 [==============================] - 0s 23ms/step - loss: 5.9951 - val_loss: 8.9373\n",
            "Epoch 1114/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.9183 - val_loss: 8.9462\n",
            "Epoch 1115/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.0915 - val_loss: 8.9481\n",
            "Epoch 1116/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 5.5717 - val_loss: 8.9429\n",
            "Epoch 1117/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.7699 - val_loss: 8.9362\n",
            "Epoch 1118/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8375 - val_loss: 8.9192\n",
            "Epoch 1119/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8243 - val_loss: 8.8890\n",
            "Epoch 1120/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 6.0480 - val_loss: 8.8712\n",
            "Epoch 1121/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 5.7312 - val_loss: 8.8525\n",
            "Epoch 1122/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.3195 - val_loss: 8.8327\n",
            "Epoch 1123/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.7764 - val_loss: 8.8193\n",
            "Epoch 1124/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.7046 - val_loss: 8.8021\n",
            "Epoch 1125/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.9226 - val_loss: 8.7942\n",
            "Epoch 1126/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1472 - val_loss: 8.7844\n",
            "Epoch 1127/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 6.2562 - val_loss: 8.7729\n",
            "Epoch 1128/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2023 - val_loss: 8.7701\n",
            "Epoch 1129/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.8023 - val_loss: 8.7631\n",
            "Epoch 1130/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.7259 - val_loss: 8.7531\n",
            "Epoch 1131/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8986 - val_loss: 8.7462\n",
            "Epoch 1132/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.6420 - val_loss: 8.7335\n",
            "Epoch 1133/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.9505 - val_loss: 8.7172\n",
            "Epoch 1134/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 6.1610 - val_loss: 8.7027\n",
            "Epoch 1135/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.0101 - val_loss: 8.7052\n",
            "Epoch 1136/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5257 - val_loss: 8.7053\n",
            "Epoch 1137/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.7356 - val_loss: 8.7049\n",
            "Epoch 1138/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.6321 - val_loss: 8.7014\n",
            "Epoch 1139/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.8133 - val_loss: 8.6913\n",
            "Epoch 1140/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3558 - val_loss: 8.6732\n",
            "Epoch 1141/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1282 - val_loss: 8.6481\n",
            "Epoch 1142/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.9692 - val_loss: 8.6160\n",
            "Epoch 1143/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.7281 - val_loss: 8.5932\n",
            "Epoch 1144/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.4100 - val_loss: 8.5867\n",
            "Epoch 1145/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.9571 - val_loss: 8.5922\n",
            "Epoch 1146/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.7489 - val_loss: 8.6125\n",
            "Epoch 1147/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.4668 - val_loss: 8.6312\n",
            "Epoch 1148/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.1061 - val_loss: 8.6464\n",
            "Epoch 1149/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.6703 - val_loss: 8.6525\n",
            "Epoch 1150/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.4369 - val_loss: 8.6487\n",
            "Epoch 1151/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.8412 - val_loss: 8.6433\n",
            "Epoch 1152/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 5.5361 - val_loss: 8.6343\n",
            "Epoch 1153/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.6860 - val_loss: 8.6270\n",
            "Epoch 1154/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.3242 - val_loss: 8.6130\n",
            "Epoch 1155/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5209 - val_loss: 8.5928\n",
            "Epoch 1156/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.6315 - val_loss: 8.5690\n",
            "Epoch 1157/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.4887 - val_loss: 8.5502\n",
            "Epoch 1158/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.9536 - val_loss: 8.5364\n",
            "Epoch 1159/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.8973 - val_loss: 8.5320\n",
            "Epoch 1160/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.3520 - val_loss: 8.5265\n",
            "Epoch 1161/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.4305 - val_loss: 8.5290\n",
            "Epoch 1162/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 5.3130 - val_loss: 8.5230\n",
            "Epoch 1163/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.3536 - val_loss: 8.5173\n",
            "Epoch 1164/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1330 - val_loss: 8.5127\n",
            "Epoch 1165/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.6068 - val_loss: 8.4981\n",
            "Epoch 1166/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.9663 - val_loss: 8.5001\n",
            "Epoch 1167/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3548 - val_loss: 8.5042\n",
            "Epoch 1168/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2844 - val_loss: 8.5092\n",
            "Epoch 1169/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.8428 - val_loss: 8.5095\n",
            "Epoch 1170/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2076 - val_loss: 8.5037\n",
            "Epoch 1171/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 6.0608 - val_loss: 8.5008\n",
            "Epoch 1172/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.4764 - val_loss: 8.4971\n",
            "Epoch 1173/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3659 - val_loss: 8.4980\n",
            "Epoch 1174/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 4.9658 - val_loss: 8.4891\n",
            "Epoch 1175/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.4218 - val_loss: 8.4801\n",
            "Epoch 1176/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5125 - val_loss: 8.4678\n",
            "Epoch 1177/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3277 - val_loss: 8.4549\n",
            "Epoch 1178/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2181 - val_loss: 8.4413\n",
            "Epoch 1179/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.7118 - val_loss: 8.4317\n",
            "Epoch 1180/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3085 - val_loss: 8.4301\n",
            "Epoch 1181/3000\n",
            "2/2 [==============================] - 0s 17ms/step - loss: 5.3994 - val_loss: 8.4243\n",
            "Epoch 1182/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2882 - val_loss: 8.4114\n",
            "Epoch 1183/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.0514 - val_loss: 8.3997\n",
            "Epoch 1184/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.3248 - val_loss: 8.4002\n",
            "Epoch 1185/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.4622 - val_loss: 8.4057\n",
            "Epoch 1186/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.1977 - val_loss: 8.4071\n",
            "Epoch 1187/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.0347 - val_loss: 8.4134\n",
            "Epoch 1188/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3140 - val_loss: 8.4224\n",
            "Epoch 1189/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.2341 - val_loss: 8.4361\n",
            "Epoch 1190/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3707 - val_loss: 8.4493\n",
            "Epoch 1191/3000\n",
            "2/2 [==============================] - 0s 19ms/step - loss: 4.9569 - val_loss: 8.4559\n",
            "Epoch 1192/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.1104 - val_loss: 8.4476\n",
            "Epoch 1193/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.6071 - val_loss: 8.4346\n",
            "Epoch 1194/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.5181 - val_loss: 8.4114\n",
            "Epoch 1195/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2685 - val_loss: 8.3782\n",
            "Epoch 1196/3000\n",
            "2/2 [==============================] - 0s 13ms/step - loss: 5.6132 - val_loss: 8.3471\n",
            "Epoch 1197/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3493 - val_loss: 8.3183\n",
            "Epoch 1198/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.1339 - val_loss: 8.2880\n",
            "Epoch 1199/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.8780 - val_loss: 8.2739\n",
            "Epoch 1200/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.5430 - val_loss: 8.2701\n",
            "Epoch 1201/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 4.7719 - val_loss: 8.2758\n",
            "Epoch 1202/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1759 - val_loss: 8.2789\n",
            "Epoch 1203/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.1924 - val_loss: 8.2746\n",
            "Epoch 1204/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.6730 - val_loss: 8.2648\n",
            "Epoch 1205/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.4068 - val_loss: 8.2603\n",
            "Epoch 1206/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.2057 - val_loss: 8.2582\n",
            "Epoch 1207/3000\n",
            "2/2 [==============================] - 0s 18ms/step - loss: 5.2404 - val_loss: 8.2617\n",
            "Epoch 1208/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.3927 - val_loss: 8.2740\n",
            "Epoch 1209/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.6034 - val_loss: 8.2833\n",
            "Epoch 1210/3000\n",
            "2/2 [==============================] - 0s 16ms/step - loss: 5.2811 - val_loss: 8.3059\n",
            "Epoch 1211/3000\n",
            "2/2 [==============================] - 0s 14ms/step - loss: 5.0204 - val_loss: 8.3349\n",
            "Epoch 1212/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.0840 - val_loss: 8.3486\n",
            "Epoch 1213/3000\n",
            "2/2 [==============================] - 0s 15ms/step - loss: 5.1346 - val_loss: 8.3418\n",
            "Epoch 1214/3000\n",
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            "Epoch 1300/3000\n",
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            "Epoch 1313/3000\n",
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            "Epoch 1314/3000\n",
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            "Epoch 1316/3000\n",
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            "Epoch 1322/3000\n",
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            "Epoch 1323/3000\n",
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            "Epoch 1324/3000\n",
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            "Epoch 1325/3000\n",
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            "Epoch 1326/3000\n",
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            "3/3 [==============================] - 0s 3ms/step - loss: 7.2315\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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xzzzzjK+heejQoTz11FOt/yJHIGBTZ4vIAOBZoA+gwAJVfVBE7gJ+AmS7u/5WVRe5x9wOXAN4gV+q6vuHfLCfQE6dXevsBz9nw75Cnr50JDP+MwVO/z1MvyGg5zSmq7GpswMnlKbOrgZuUdUxwFTgehEZ4267X1Unuq/ahDAGuBQ4GjgL+KeIhDX0we3pxycMAWDews0Q28u5UzDGmE4qYElBVfep6gp3uQjYAKQ2ccgsYKGqVqjqDmArcGyg4muV5BGQa91SjTGdV7s0NIvIYGASsNQt+rmIrBaRJ0UkyS1LBXb7HZZB00mkXaQmxfiWSxOG2J2CMQHSkZ8CGapac00DnhREJA54DbhRVQuBR4FhwERgH/D3Fn7etSKSJiJp2dnZhz/gCB03pIdvuSxhKJTmQFlewM9rTFcSHR1Nbm6uJYY2pKrk5uYSHR19+J39BLT3kYhE4CSEF1T1dQBVzfLb/jjwjru6Bxjgd3h/t6weVV0ALACnoTkwkdcREc4dn8J/V++jLHGYU5i9GQYeF+hTG9Nl9O/fn4yMDNrjD72uJDo6mv79+7fomIAlBRER4Algg6re51eeoqq1c1BfCKx1l98CXhSR+4B+wAhgWaDia4kLJ6by39X7KEoY7hRkb7CkYEwbioiIYMiQIcEOwxDYO4XpwJXAGhFZ5Zb9FpgjIhNxuqmmAz8FUNV1IvIysB6n59L1qhoST7WJinBq2YqjUyAyDvZvCHJExhgTGAFLCqr6BSANbFrUxDH3APcEKqbWigp3esZWeoFeo20OJGNMp2XTXDRD7cN2Kqq90Psou1MwxnRalhSaIcpNCit25kPvMVCSDcXWIGaM6XwsKTRDf3esQl5pJfQe7RRm292CMabzsaTQDPHRzlTZLyzdhfZy5xCxKiRjTCdkSaGFDkgSxCRZUjDGdEqWFFpoR26p065gScEY0wlZUmihSxd8U9cDyYbkG2M6GUsKLZQYE+EkhYoCKNwb7HCMMaZNWVJoofjocOh9tLOStS64wRhjTBuzpNBCmYXl0MdNCpnfBTcYY4xpY5YUWqi8qoaqiDhIGgL7Vgc7HGOMaVOWFJrpnV+cwLnjUwAoKq+GlPGQaUnBGNO5WFJoprGpicwc1RuAovIq6Dse8tKhvCC4gRljTBuypNAC8dHOpLI7ckogZYJTmLkmiBEZY0zbsqTQArVJYd5T31LY3Z3uwtoVjDGdiCWFFoiPivAt53t6QFwfa1cwxnQqlhRaoPYJbADl1V6nXcHuFIwxnYglhRZISYz2LZdXeZ0eSNkboao8iFEZY0zbsaTQAvHRETx/zXGAM16BvuNBvfZ4TmNMp2FJoYWi3SqkjLzSuh5Ie1cGMSJjjGk7lhRaSMR5v/nl7yBpMHRLhj0rghqTMca0FUsKLTS6b4Jv2atA6jGwZ3nwAjLGmDZkSaGFYqPCueMcZ4xCWZXXSQrZG6GiKMiRGWPMkbOk0Aq17QovLt1JSc8JgMLeVcENyhhj2oAlhVaIiggD4E+LNvI/aZFO4Z60IEZkjDFtw5JCK8S4SQFgW0m0M422tSsYYzoBSwqtEO2XFAC3sdl6IBljOj5LCq0Q01BSKNwDhfuCE5AxxrSRgCUFERkgIktEZL2IrBORG9zyHiLyoYhscd+T3HIRkYdEZKuIrBaRyYGK7Uj1ToiqX5B6jPO+1+4WjDEdWyDvFKqBW1R1DDAVuF5ExgC3AYtVdQSw2F0HOBsY4b6uBR4NYGxHZGCPbr7l8kp3DiRPOGRYY7MxpmMLWFJQ1X2qusJdLgI2AKnALOAZd7dngAvc5VnAs+r4BuguIimBiu9IREeEcdLIXgDkl1VCRAz0HQe7lwU5MmOMOTLt0qYgIoOBScBSoI+q1la+ZwJ93OVUYLffYRlu2cGfda2IpIlIWnZ2dsBiPpyfzxwOQEpijFMwcJrTLbW6MmgxGWPMkQp4UhCROOA14EZVLfTfpqoKaEs+T1UXqOoUVZ3Sq1evNoy0ZY4d0oMTR/Rk1e58tu4vgoFToboc9n0XtJiMMeZIBTQpiEgETkJ4QVVfd4uzaquF3Pf9bvkeYIDf4f3dspC1dPsBAJ74Ih0GTHUKd30dvICMMeYIBbL3kQBPABtU9T6/TW8Bc93lucCbfuVXub2QpgIFftVMISk8zJkyNTrCA/F9oMdQ2PVNkKMyxpjWC+SdwnTgSuAUEVnlvs4B/gycLiJbgNPcdYBFwHZgK/A48LMAxtYmZoxyqq+e+jKd0spqp11h19egLaoRM8aYkBEeqA9W1S8AaWTzqQ3sr8D1gYonEH4/ayyL1mQC8PZ3e7lk4FRY9QLkbIFeI4McnTHGtJyNaD4CcVF1ObWkwuvcKYC1KxhjOixLCkcgMqzu8uWVVkLycOdJbNauYIzpoCwpHAGPp652rLCsynlW58BpsOurIEZljDGtZ0nhCN19/tEAFJZXOwWDT4C8dMjf3fhBxhgToiwpHKG5xw8mtXsMb6zcw5qMAhhykrNhx2fBDcwYY1rBkkIb2JNfBsCLy3ZC7zHQrSfs+DTIURljTMtZUmhDPWIjnXaFISc5dwo2XsEY08FYUmhDjyzZxu4DpTD0ZCja54xXMMaYDsSSQht44JKJvuUT/7rEr13BqpCMMR2LJYU2cMGkg2b4ThoCiQOtsdkY0+FYUgiA9NxS524h/XOoqQl2OMYY02yWFNrIeePrHhL35bYcp12hLA8y7fkKxpiOw5JCG5k6NNm3HBcVDkNnOCtbPwpKPMYY0xqWFNrI+RP7+ZajI8IgrjekTIQtlhSMMR2HJYU2khAdwX9/eQIAVV63HWHEGZCxzKlGMsaYDsCSQhuqnUq7sro2KZwOWgPbPg5iVMYY03yWFNpQVHgYAAu/dSfDSz0GYpKsCskY02FYUmhDkeHO5Vy24wDvrtkHnjAYdorT2GxdU40xHYAlhTaUEF33JLbrXlhBcUU1DD8dSvZD5uogRmaMMc1jSaENhYfVv5z/WLwFhp/mrGz5IAgRGWNMy1hSCKDSSi/E9YL+34ON/w12OMYYc1iWFNrYLaeP9C17a6fOHn0e7FsFBRlBisoYY5qnWUlBRGJFxOMujxSR80UkIrChdUy/OHWEr2uq+icFsLsFY0zIa+6dwmdAtIikAh8AVwJPByqoji46wuma+tIyt2tqz+HQazRsfCeIURljzOE1NymIqpYCPwD+qaoXAUcHLqyOLSJMfMu+0c2jz4X0L6H0QJCiMsaYw2t2UhCRacDlQG0dSFhgQur4Thnd27c84o53KSyvcqqQ1Aub3w9iZMYY07TmJoUbgduBN1R1nYgMBZYELqyO7a7zj+aYQUm+9Q17C6HfJEhItSokY0xIa1ZSUNVPVfV8Vf2L2+Cco6q/bOoYEXlSRPaLyFq/srtEZI+IrHJf5/htu11EtorIJhE5s9XfKAREhHl45afTfOthHgEROOr7sOVDKC8MYnTGGNO45vY+elFEEkQkFlgLrBeRXx/msKeBsxoov19VJ7qvRe7njwEuxWmnOAv4p4h06Oopj6euXcE3Qd7YH4K3AjYtClJUxhjTtOZWH41R1ULgAuBdYAhOD6RGqepnQHNbVWcBC1W1QlV3AFuBY5t5bMiqnQvpsn8t5f4PNzuD2BIHwtrXghyZMcY0rLlJIcIdl3AB8JaqVgHaynP+XERWu9VLtRXvqcBuv30y3LJDiMi1IpImImnZ2dmtDKF9vPOLE3zLDy7e4lQhjf2BM5W29UIyxoSg5iaF/wPSgVjgMxEZBLSmYvxRYBgwEdgH/L2lH6CqC1R1iqpO6dWrVytCaD9DesYeWjhuNtRUw/o32z8gY4w5jOY2ND+kqqmqeo46dgIzW3oyVc1SVa+q1gCPU1dFtAcY4Ldrf7esQ4sI85AYc9DA7z5joedIq0IyxoSk5jY0J4rIfbXVNiLyd5y7hhYRkRS/1QtxGq0B3gIuFZEoERkCjACWtfTzQ9H3BifVLxBxGpzTv4CCDp/3jDGdTHOrj54EioCL3Vch8FRTB4jIS8DXwCgRyRCRa4C/isgaEVmNc6dxE4CqrgNeBtYD7wHXq6q3Fd8n5FxzwlDfcnmV+5XGXwIofPdScIIyxphGiG/StqZ2ElmlqhMPV9bepkyZomlpacEMoVnOuP9TNmcV84PJqdx3sXvJnj7PmTX1lyuduwdjjGknIrJcVac0tK25dwplIuLrSiMi04GytgiuKzh+WE8AXl+xh4c/3uIUTroS8nbAzq+CGJkxxtTX3KQwH3hERNJFJB14GPhpwKLqZLw1dXdj936wmbySSmd0c1QCrHw+iJEZY0x9ze199J2qTgDGA+NVdRJwSkAj60R8M6W6sorKIbKbM2Zh/X9s2gtjTMho0ZPXVLXQHdkMcHMA4umU5k0fXG89u6jCWZh0JVSVwrrX2z8oY4xpwJE8jtNaR5tpdN8E7r9kgm+9pMLthZR6DPQeA98+Ac1o8DfGmEA7kqRgv2It0DMuyrdcUlHtLIjAsT+BzNWwe2mQIjPGmDpNJgURKRKRwgZeRUC/doqxUzhheE/uPPcoAG555bu6DeMvgehEWPpYkCIzxpg6TSYFVY1X1YQGXvGqGt5eQXYGIsIVUwf51u//cLOzEBkLk6+C9W/ZCGdjTNAdSfWRaaGo8LrL/eDiLTy02B2z8L2fAAppTwQnMGOMcVlSaEciwpxj6+b9u6/2biFpEIw8G9KegiobE2iMCR5LCu1smju6+RBTr4OyAzaYzRgTVJYU2tn5E/px+9mjD90w+ATofyx8+RB4q9o/MGOMwZJCUFx7Ut3MqZ9vcZ8eJwIn3gIFu2DNK0GKzBjT1VlSCAIR4ZX50wC48gm/x0aMPBP6jIPP74OaTjFzuDGmg7GkECTDesX5ln1zI4nAiTdD7hbY8HaQIjPGdGWWFIIkqVvdYzpH3PFu3YYxsyB5OHz6F7tbMMa0O0sKQSIivHn99EM3eMJg5h2wfz2sfrn9AzPGdGmWFIKod0LdfEj5pZV1G8ZcACkTYMmfoLoiCJEZY7oqSwpB5D9J3uIN++s2eDxw2l1OT6S0J9s9LmNM12VJIYgiwuouf71J8gCGzoQhJ8Fnf4OyvHaOzBjTVVlSCLKHL5vkW96ZW8L27GJnRQTOuMdJCEv+FKTojDFdjSWFIDt3XIpv+eS/fcIpf/+0bmPKeJhyNXz7L8hcE4TojDFdjSWFIBOReiOcASqr/Z7pPPMOiEmCRb+2p7MZYwLOkkII+O05R9Vbz8grrVvp1gNO/V/Y9TV891I7R2aM6WosKYSIaUOTfcun/P3T+ncLk66EAcfBe7dD4b4gRGeM6SosKYSI+y6ZwPcn1D3hdOUuvx5HHg/M+idUl8M7N1o1kjEmYCwphIiUxBgeunSib/0v722sv0PP4U410ub3YNWL7RydMaarCFhSEJEnRWS/iKz1K+shIh+KyBb3PcktFxF5SES2ishqEZkcqLhCmYjwy1OGA7BiVz4frMusv8Nx82HQdHj3VsjZGoQIjTGdXSDvFJ4Gzjqo7DZgsaqOABa76wBnAyPc17XAowGMK6TdfMYoThndG4Brn1vOV9tyKK6odjZ6PPCDBRAWCa/Ms0d3GmPaXMCSgqp+Bhw4qHgW8Iy7/AxwgV/5s+r4BuguIil0UT+YnOpbvuzxpfzm1dV1GxP7O4khaw28d1sDRxtjTOu1d5tCH1Wt7T6TCfRxl1OB3X77ZbhlhxCRa0UkTUTSsrOzAxdpEJ03vh/PXn2sb31zVlH9HUacDifcBMufhhXPtW9wxphOLWgNzaqqQIu70ajqAlWdoqpTevXqFYDIQsPovvG+5czCchZ8tg3173U0805nfqR3boQdnwUhQmNMZ9TeSSGrtlrIfa+dGnQPMMBvv/5uWZflP4NqUXk1f1q0kdwSv+m1w8LhoqedB/L8+0rI2dL+QRpjOp32TgpvAXPd5bnAm37lV7m9kKYCBX7VTF2SxyP88/L6nbD2Fx70bIWY7nDZv8ETDs//EAr3tmOExpjOKJBdUl8CvgZGiUiGiFwD/Bk4XUS2AKe56wCLgO3AVuBx4GeBiqsjOWdciq+LKsD+ovJDd0oaDJe9DKUH4JnzoXj/ofsYY0wziXbg0bFTpkzRtLS0YAQmc3sAABiSSURBVIcRUBXVXt5bm8kNC1dxy+kj+cWpIxrecedX8NwPoMdQmPeOM2eSMcY0QESWq+qUhrbZiOYQFxUexplH9wXg7x9u5pqnv6XBRD7oeJjzEuRuhafOtqokY0yrWFLoAKIjwnzLizfuZ3NWccM7DpsJV7wGBXvgiTMhd1s7RWiM6SwsKXQQf79ogm/55pdXNb7jkBNh3ttQVQJPngl7m9jXGGMOYkmhg/jhMf356OaTAVi3t5DBt/2XdXsLGt653yS4+n0Ij4anz4VtH7djpMaYjsySQgcyvHcc/7qqrm3o3vc3sSajgJLauZH89RwB13wA3QfBCxfB6pfbMVJjTEdlSaGDOW1MH8I8AsCSTdl8/+Ev+NUr3zW8c0I/+NEiGDgNXv8JfPWPdozUGNMRWVLogD751Yx66yt35Te+c0x3p/F5zAXwwZ02V5IxpkmWFDqgAT26sfDaqb71zMJy7n1/U+MHhEfB7Cdh8InOIz3L8hrf1xjTpVlS6KCmDk1m/snDfOsPL9nKvz7fztwnlzH+rvcPPcATBmf9GSqLYNnj7RipMaYjsaTQgd129mi23nO2b/2P/93Ap5uzKSxvoOEZoO9YGHYKLH8GamraKUpjTEdiSaGDCw/z8NgVhz69NM9/RlV/k66AwgzY8WmAIzPGdESWFDqBs8amsPiWk+uVTfrDh/y/dzccuvOocyE6EVa92E7RGWM6EksKncSwXnFcPKV/vbL/+3Q7T3+5g5v/7TeqOSIaxs6GDW9BeSOD34wxXZYlhU7kr7MnsOP/nUNybKSv7K631/P6yj1Ue/3aECZdDtXlsPa1IERpjAlllhQ6GRHh41tmHFI+//nldSOf+02G3mNgxbPQgadON8a0PUsKnVBitwg2//FsjhmURPduEQB8tGE/d/5nLV9syQEROG4+7F0JK58PcrTGmFBiSaGTigz38Np1x/O/3x/jK3tj5R6ueGIpt776HeXjLnMGs/33ZucBPcYYgyWFTm/WhFRe/9nxPHDJRF/Zy2kZ3PfRVrj4WWfCvJfmQHYTI6KNMV2GJYVOzuMRJg9M4oJJqdzg9yjPvfllziM7r3gVwiLg+dlQlBXESI0xocCSQhdy0+kjGdknDoC4qHCnMGkwXPYylObAixdBRSNPdTPGdAmWFLqY9244ifiocKq8fr2OUifD7Kcgcw28+iPwNjJNhjGm07Ok0MV4PEJRRTWvrcggI6+0bsOos+Dcv8OWD+CdG21uJGO6KEsKXdjLaRmo/ziFKVfDSb+Glc/BWz+3OwZjuiBLCl3Q8jtPA+ChxVuY//xyvDV+iWHmHTDjt7DqBXjtaqhuZGI9Y0ynZEmhC0qOi/LNrPr+uiweXLylbqMIzPgNnPknWP8mLJwD5YVBitQY094sKXRRZ41N4Z1fnAA4dwyHmHY9nP8wbFsCT54JeTvbOUJjTDBYUujCxqYmEh/tdE1dk1FATc1B8yBNvtJ5vnPhHvjXqbBraRCiNMa0p6AkBRFJF5E1IrJKRNLcsh4i8qGIbHHfk4IRW1fzyvxpAHz/4S8Y+ttFfLUtp/4Ow2bCjxdDVDw8c57z1DabRM+YTiuYdwozVXWiqk5x128DFqvqCGCxu24CbHTfBE4e2cu3ftnjS5nyx4/YmOnXjtBzhJMYBk2Ht38Jb8yHypIgRGuMCbRQqj6aBTzjLj8DXBDEWLqUp3/0PY7ul+Bbzymu4NyHviC/1K/nUbceTlXSjN/C6n/DgpmQtS4I0RpjAilYSUGBD0RkuYhc65b1UdV97nIm0Cc4oXU9IsJ/f3kit541ylfmrVGO//PH9Xf0hDk9k656E8ryYMEM+OJ+qPG2b8DGmIAJVlI4QVUnA2cD14vISf4b1RlR1WDFtYhcKyJpIpKWnZ3dDqF2HT+bMZy7zz/at15a6SW3uOLQHYeeDD/7GkaeCR/dBU+eBTlb2y9QY0zAiAa50VBE7gKKgZ8AM1R1n4ikAJ+o6qimjp0yZYqmpaW1Q5RdS0FZFbe/vppFazIB6BkXxce/OpmE6Ij6O6rCmldh0S3OILeZt8Nx10F4ZAOfaowJFSKy3K89t552v1MQkVgRia9dBs4A1gJvAXPd3eYCb7Z3bMaRGBPB72eN9a3nFFfwSloGr6/IoMr/Wc8iMP4i+NlSp5fSh7+Dx6bD9k/aP2hjTJto9zsFERkKvOGuhgMvquo9IpIMvAwMBHYCF6vqgaY+y+4UAuub7blcuuCbemXDe8dx9/lHM314z0MP2Pw+vHsr5KXDUd+H0+6G5GHtE6wxptmaulMIevXRkbCk0D62Zxdzyt8/rVe26Y9nkVdSRY/YSCLD/W44q8rhq384DdDeCvjej+GkWyE2uZ2jNsY0xpKCOWLFFdU8+slWHlmyrV75hZNSud/vUZ8+RVnwyZ9gxbMQGQcn3ATH/RQiY9spYmNMY0KqTcF0THFR4Vw5dfAh5W+s3MOjn2w79ID4PvD9B+G6r2DgNFh8NzwwzrmDqCgKfMDGmFaxOwXTIuVVXqLCPdz99nqe/irdV/7YFZM5a2wKK3blMahHN5LjouofuGspfPZX2PoRxCTBsT91qpbiemGMaV9WfWTa3J78Ms68/zPKqrz1n8fgSv/zuQ0fmLEcPr8XNi2CsCiYcAlMvR56jw5wxMaYWpYUTMAcKKlk8h8+PKT8JycOoaCsipNG9uK88f0OPTBnC3zzT1j1IlSXw9AZMHkujD4XwqMO3d8Y02YsKZiA+nhjFlc/3fh/hyumDuTccf2YNqyBHkgluZD2JKx4Bgp2Q7dkmDAHJl8FvZocu2iMaSVLCibgamqUT7dkU1Vdw7XPLW9wnyunDuL3s45GRBr4AK/zQJ8VzzhVSzXVkDIBxs6GsT+ExNQAfwNjug5LCqZdlVRUk1VYzu/eXMeKXXmUVtafMG/ZHafSOz6amhpFhEOTRPF+Z/qMNa/A3hWAONN2j5sNR51vYx6MOUKWFEzQqCpfb8vlsn81/tS2t39+AiKwfm8hF39vQP2Nudtg7WtOgsjZDOJxuriOPhdGnQM9hgT4GxjT+VhSMEG3fm8hOcUV/PzFFRSWVze639xpg7jr/KPx1ijhYX7DaFQhcw1seNupXspa65T3HuMkh9HnQMok8NjQG2MOx5KCCRnpOSWc8cBnDO0Zy8bMpgexPXjpRI4ZlERq95hDq5jy0mHjIidB7PwK1Os0Ug+cBoNPcKqb+oy1JGFMAywpmJCVU1zBz15YwbIdTc59yK1njWJMSgLhHg8njDhoMr7SA7DlA9j+Kez8AvJ3OeXRiTDweBg83UkSfcdDWHiAvokxHYclBRPyCkqr2Ly/iDkLvmFgcje2Zzf+DOiocA/3XDiOzzZnc+d5R9E7Prr+Dvm7nbuHnV9A+pdwwJ2GIzIe+o6DvmOd9z5jofdREBETwG9mTOixpGA6nJoa5ZXlu4mOCOOd1fv4cH1Wo/u+9fPpeER4fcUeIsM9nD6mD2NTE4gKD3N2KNwHO7+EXV877RKZa6HKTTrigeQRTnLoOdJ9jYDk4RAV1w7f1Jj2Z0nBdHjr9hbw2KfbyS4qZ1SfeJ75emezjnvkssmcNLIn3SLDyS6qoE9CFKIKeTucBJG11kkSOZucdgr1e4hQQn8nQfQc6SSJxP7OeImE/tCth/OQIWM6IEsKptOpHQuRVVjBnMe/OfwBfh674hiOSolnYI9u9RuwqyvgwHan62vOZmcqjtr3yuL6HxIeAwkpENcX4npDvPse1xfi+tSVdUsGT1gbfGNj2o4lBdPpHSipJKlbBLe88h3fbMuloKyKkoMGzTXlhlNHcNW0QZRUePliaw5j+iUwcUB3Z6OqM6CuMAMK9kDhHijIgMK9TnlxpvNeUXjoB4sHYnu5icJ9xfstx/Z0Eke3ZGf22LCIQz/DmDZmScF0SXvyy9iRXUKYR1i5O4+aGuXeDza3+HN6xUdRUFbF8F5OG8ONp40gItxDTY0SEeYhzCNER4RxTEoUFGfVTxTFWVCUeVDZfqcLbUOiEp2qqdpE0S256fWYHtbt1rSYJQVj/FR5axBg/b5Cvt6WS2mll4Xf7iKrsOKIP/uSKQPwqpKSGM2+gnLGpCQwum88K3fnc/6Efgzo0Q2t8aIluXhK9uMtyUFLcgkvP4CW5iKlB6A0l5qSXDxluVCWB6W5UFXa8AnDIp22jpgkiO4OMd2bfk/o5yQTaw/p0iwpGNMMu3JLeX7pTn51xijKq708/81OHv1kG6ndYw470C4QesVHcero3qR2j0ErSzk+VZDSA6REltInrJiwsgN1VVlleVCeD2X5znt5Qf1Gc39Ric70IMnDoMdQ59V9IHQf5CQNawPp9CwpGNOGvDWKqqI4zQ0FZVV8vT2X/YXleETwCDz7zc56Yy3GpSayZk9Bm8fSJyGK6cN7UlFdQ7eIML7ensvxw5K56JhUEqSc5LBS4rSET77bzMRe0Fdzncb0A9ud8Rv5u+onD0+E084R28vpcdV9ICSkQtJgJ5F0H2jPu+gELCkYEwKqvTWs21tIbFQ4qd1jWLU7n7iocDZmFtI7IZpwj7Aps4jFG7OYO20wA5O78bv/rGPt3gLGpiYedtR3c/zilOHsOlDKh+uzeOCSiRQWl3JCr1L66n4qsncQWbQbKc122kFytjiN6TVVfp8gfm0aPesSSG1ZTA9nOaYHdEty3qMTrboqxFhSMKYTKa/yklVYzoGSSnrFR5GRV8aWrCK2ZZcwum88W/cX868vdhzROXrGRZJTXMm9s8eTUJPHuJgDRBXtpHv5HkrzMomtzqemJIew0hwoyXaqr2jkt0TC/BJFD4hKgMhY9xXnvEcnOMkjujtExTuv8GhntHnte0SM0xXYGtaPmCUFY7qowvIqYiOd+Z5qVFmdkc/KXfmUVnp5/LPtFFU0PmNtS3xvYAJnDo9hal8h1ltIRGU+OzN2c1RiNVp6gMjKfMLK84ioyCO8ugSpLEErnXcqixpv/2hIWKSTHCKiD00cjb5HOcthke57hLMcFuG37K57/LfVloc7754I8IQ77S6ecOcVFuF0Pe5Ad0OWFIwxh1BVyqq8FJdX88bKPVxzwhCWpR/gteV72F9Uzpo9BXSPiSA9t5GeT23kB5P68d7K7SSHlTJjYAQ9Iyo5ZWg39ucV0DtaGdLdw57sA0RpJWVlJfSMqiEh3EuklkN1GVJV7jznu6rMfXfK6717K5yn+QWSJxwQJ8FFxEBENzeRhDll4qlLJhLmLNeWgXOsLynV7uMmHo+n7jhx75RGnuk8eKoVLCkYY9pMlbeGnbmlpCRGk1VYzuOf72B7djHJcZGM6pPAu2v3ISLkFFeQXXTk3XybI9wjHN0vARGhoKyKHTlOI/9lxw1k2/5ihveOIzYCYjxecvMLOXl4EtsyD5AUBQmRiqemiv4J4RSWlBKJl+RuQq8YoaC4hO6RkF1QTCTV9IkLh5pqPOqFmirUW01pRQUxYYrUeBFqUDx4K0sJ95aBt8pJRuImhppqZ4xKTTXU1LjLXucuQ2vq9vdW1d/P/7ja3+wpP4LpN7TqellSMMYETWZBOX0T62ayLa6oZuGyXUwa2J380ireW5tJ38Ro4qLC2bCvkF7xUWzMLGJzVhGzj+nPY59ux1ujJHWLIDLc0ybjSY5UVLiHiur6VV4RYUJq9xhyiyvrVcvFRob5RtcP7RkLwPacEo4flsyBkkoGJ8dSXVNDRXUNkwZ0p09iNNVeZeWuPBJjIhjcM5bCsmpio8JYu6eAo1ISSNuZxw2njmBsamKr4rekYIzpsFSV4opq4qPrpgCpqVE8HiG3uIKkbpFk5JWxJ7+Mcf0TKav08tW2HE4Y3pNNWUVEhXvwiJCSGMO27GIOlFSybm8hFdVeKqpr+MbtxpuRV0ZeaRW7ckvIK61i+vBk8kqqSM8t8T1nXMT5Qz0xJoKCsqp6cSbHRvrukNrD/JOHcdvZo1t1bIdKCiJyFvAgEAb8S1X/3Ni+lhSMMcFWU+P8hno8jTc0l1d5WbU7n6P6JlCjSmS4hypvDVmFFaQmxbAlq4j9RRVMHpjk61m2anc+1d4aMgvLmTggiU2ZhRRVVKMKR/dL4Iqpg4iOaN1Aww6TFEQkDNgMnA5kAN8Cc1R1fUP7W1IwxpiWayophFqH32OBraq6XVUrgYXArCDHZIwxXUaoPbA2Fdjtt54BHOe/g4hcC1zrrhaLyKZWnqsnkNPKY4PJ4m5fFnf7srjbx6DGNoRaUjgsVV0ALDjSzxGRtMZun0KZxd2+LO72ZXEHX6hVH+0BBvit93fLjDHGtINQSwrfAiNEZIiIRAKXAm8FOSZjjOkyQqr6SFWrReTnwPs4XVKfVNV1ATrdEVdBBYnF3b4s7vZlcQdZSHVJNcYYE1yhVn1kjDEmiCwpGGOM8emSSUFEzhKRTSKyVURuC3Y8/kRkgIgsEZH1IrJORG5wy3uIyIcissV9T3LLRUQecr/LahGZHMTYw0RkpYi8464PEZGlbmz/djsPICJR7vpWd/vgYMXsxtNdRF4VkY0iskFEpoX69RaRm9x/H2tF5CURiQ7V6y0iT4rIfhFZ61fW4usrInPd/beIyNwgxf0399/JahF5Q0S6+2273Y17k4ic6Vcesr83DVLVLvXCacDeBgwFIoHvgDHBjssvvhRgsrscjzPtxxjgr8BtbvltwF/c5XOAdwEBpgJLgxj7zcCLwDvu+svApe7yY8B17vLPgMfc5UuBfwf5mj8D/NhdjgS6h/L1xhnkuQOI8bvO80L1egMnAZOBtX5lLbq+QA9gu/ue5C4nBSHuM4Bwd/kvfnGPcX9LooAh7m9MWKj/3jT4vYMdQLt/YZgGvO+3fjtwe7DjaiLeN3HmgtoEpLhlKcAmd/n/cOaHqt3ft187x9kfWAycArzj/k+d4/c/kO+64/Qum+Yuh7v7SZCub6L7AysHlYfs9aZu5H8P9/q9A5wZytcbGHzQj2uLri8wB/g/v/J6+7VX3AdtuxB4wV2u9ztSe8072u+NqnbJ6qOGptJIDVIsTXJv8ycBS4E+qrrP3ZQJ9HGXQ+X7PADcCtROMp8M5Ktq7cTy/nH5Yna3F7j7B8MQIBt4yq36+peIxBLC11tV9wD3AruAfTjXbzkd43rXaun1Dfp1b8DVOHc10LHiblJXTAodgojEAa8BN6pqof82df7kCJm+xCJyHrBfVZcHO5ZWCMepInhUVScBJTjVGT4heL2TcCaKHAL0A2KBs4Ia1BEItevbHCJyB1ANvBDsWNpaV0wKIT+VhohE4CSEF1T1dbc4S0RS3O0pwH63PBS+z3TgfBFJx5nZ9hScZ2J0F5HaAZL+cflidrcnArntGbCfDCBDVZe666/iJIlQvt6nATtUNVtVq4DXcf4bdITrXaul1zcUrjsAIjIPOA+43E1o0AHibq6umBRCeioNERHgCWCDqt7nt+ktoLbHxVyctoba8qvcXhtTgQK/2/J2oaq3q2p/VR2Mcz0/VtXLgSVA7ZPFD4659rvMdvcPyl+KqpoJ7BaRUW7RqcB6Qvh641QbTRWRbu6/l9qYQ/56+2np9X0fOENEktw7pTPcsnYlzkPAbgXOV9VSv01vAZe6Pb2GACOAZYT4702Dgt2oEYwXTg+HzTi9Au4IdjwHxXYCzq30amCV+zoHpw54MbAF+Ajo4e4vwCPud1kDTAly/DOo6300FOd/jK3AK0CUWx7trm91tw8NcswTgTT3mv8Hp3dLSF9v4G5gI7AWeA6n10tIXm/gJZy2jyqcO7NrWnN9cerwt7qvHwUp7q04bQS1/28+5rf/HW7cm4Cz/cpD9vemoZdNc2GMMcanK1YfGWOMaYQlBWOMMT6WFIwxxvhYUjDGGONjScEYY4yPJQVjmiAiXhFZ5fdqs1kuRWSw/wycxoSCkHocpzEhqExVJwY7CGPai90pGNMKIpIuIn8VkTUiskxEhrvlg0XkY3e+/cUiMtAt7+POv/+d+zre/agwEXncfTbCByISE7QvZQyWFIw5nJiDqo8u8dtWoKrjgIdxZokF+AfwjKqOx5ks7SG3/CHgU1WdgDO30jq3fATwiKoeDeQDPwzw9zGmSTai2ZgmiEixqsY1UJ4OnKKq290JDDNVNVlEcnCeE1Dllu9T1Z4ikg30V9UKv88YDHyoqiPc9d8AEar6x8B/M2MaZncKxrSeNrLcEhV+y16snc8EmSUFY1rvEr/3r93lr3BmwgS4HPjcXV4MXAe+Z1kntleQxrSE/VViTNNiRGSV3/p7qlrbLTVJRFbj/LU/xy37Bc5T3H6N80S3H7nlNwALROQanDuC63Bm4DQmpFibgjGt4LYpTFHVnGDHYkxbsuojY4wxPnanYIwxxsfuFIwxxvhYUjDGGONjScEYY4yPJQVjjDE+lhSMMcb4/H+6ES6d/6upFgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}