House Prices using Neural Network.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Copy of Exercise 1 - House Prices - Question.ipynb","version":"0.3.2","provenance":[{"file_id":"https://github.com/lmoroney/dlaicourse/blob/master/Exercises/Exercise%201%20-%20House%20Prices/Exercise_1_House_Prices_Question.ipynb","timestamp":1555874409770}]},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"metadata":{"id":"mw2VBrBcgvGa","colab_type":"text"},"cell_type":"markdown","source":["In this exercise you'll try to build a neural network that predicts the price of a house according to a simple formula.\n","\n","So, imagine if house pricing was as easy as a house costs 50k + 50k per bedroom, so that a 1 bedroom house costs 100k, a 2 bedroom house costs 150k etc.\n","\n","How would you create a neural network that learns this relationship so that it would predict a 7 bedroom house as costing close to 400k etc.\n","\n","Hint: Your network might work better if you scale the house price down. You don't have to give the answer 400...it might be better to create something that predicts the number 4, and then your answer is in the 'hundreds of thousands' etc."]},{"metadata":{"id":"PUNO2E6SeURH","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34034},"outputId":"a4eaeb99-4c4a-415b-c6f5-47b7d18810c9","executionInfo":{"status":"ok","timestamp":1555874257123,"user_tz":-330,"elapsed":9187,"user":{"displayName":"","photoUrl":"","userId":""}}},"cell_type":"code","source":["import tensorflow as tf\n","import numpy as np\n","from tensorflow import keras\n","model = tf.keras.Sequential([keras.layers.Dense(units=1,input_shape=[1])])\n","model.compile(optimizer='sgd', loss='mean_squared_error')\n","xs = np.array([1.0,2.0,3.0,4.0],dtype=float)\n","ys = np.array([100.0,150.0,200.0,250.0],dtype=float)\n","ys_norm=ys/100\n","model.fit(xs, ys_norm, epochs=1000)\n","print(model.predict([7.0]))"],"execution_count":3,"outputs":[{"output_type":"stream","text":["Epoch 1/1000\n","4/4 [==============================] - 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0s 446us/sample - loss: 0.0040\n","Epoch 233/1000\n","4/4 [==============================] - 0s 425us/sample - loss: 0.0040\n","Epoch 234/1000\n","4/4 [==============================] - 0s 447us/sample - loss: 0.0039\n","Epoch 235/1000\n","4/4 [==============================] - 0s 422us/sample - loss: 0.0039\n","Epoch 236/1000\n","4/4 [==============================] - 0s 445us/sample - loss: 0.0039\n","Epoch 237/1000\n","4/4 [==============================] - 0s 437us/sample - loss: 0.0039\n","Epoch 238/1000\n","4/4 [==============================] - 0s 436us/sample - loss: 0.0038\n","Epoch 239/1000\n","4/4 [==============================] - 0s 433us/sample - loss: 0.0038\n","Epoch 240/1000\n","4/4 [==============================] - 0s 498us/sample - loss: 0.0038\n","Epoch 241/1000\n","4/4 [==============================] - 0s 438us/sample - loss: 0.0038\n","Epoch 242/1000\n","4/4 [==============================] - 0s 550us/sample - loss: 0.0038\n","Epoch 243/1000\n","4/4 [==============================] - 0s 518us/sample - loss: 0.0037\n","Epoch 244/1000\n","4/4 [==============================] - 0s 528us/sample - loss: 0.0037\n","Epoch 245/1000\n","4/4 [==============================] - 0s 448us/sample - loss: 0.0037\n","Epoch 246/1000\n","4/4 [==============================] - 0s 455us/sample - loss: 0.0037\n","Epoch 247/1000\n","4/4 [==============================] - 0s 463us/sample - loss: 0.0036\n","Epoch 248/1000\n","4/4 [==============================] - 0s 357us/sample - loss: 0.0036\n","Epoch 249/1000\n","4/4 [==============================] - 0s 439us/sample - loss: 0.0036\n","Epoch 250/1000\n","4/4 [==============================] - 0s 423us/sample - loss: 0.0036\n","Epoch 251/1000\n","4/4 [==============================] - 0s 427us/sample - loss: 0.0036\n","Epoch 252/1000\n","4/4 [==============================] - 0s 425us/sample - loss: 0.0035\n","Epoch 253/1000\n","4/4 [==============================] - 0s 491us/sample - loss: 0.0035\n","Epoch 254/1000\n","4/4 [==============================] - 0s 384us/sample - loss: 0.0035\n","Epoch 255/1000\n","4/4 [==============================] - 0s 401us/sample - loss: 0.0035\n","Epoch 256/1000\n","4/4 [==============================] - 0s 333us/sample - loss: 0.0035\n","Epoch 257/1000\n","4/4 [==============================] - 0s 951us/sample - loss: 0.0034\n","Epoch 258/1000\n","4/4 [==============================] - 0s 325us/sample - loss: 0.0034\n","Epoch 259/1000\n","4/4 [==============================] - 0s 552us/sample - loss: 0.0034\n","Epoch 260/1000\n","4/4 [==============================] - 0s 376us/sample - loss: 0.0034\n","Epoch 261/1000\n","4/4 [==============================] - 0s 335us/sample - loss: 0.0034\n","Epoch 262/1000\n","4/4 [==============================] - 0s 376us/sample - loss: 0.0033\n","Epoch 263/1000\n","4/4 [==============================] - 0s 363us/sample - loss: 0.0033\n","Epoch 264/1000\n","4/4 [==============================] - 0s 312us/sample - loss: 0.0033\n","Epoch 265/1000\n","4/4 [==============================] - 0s 456us/sample - loss: 0.0033\n","Epoch 266/1000\n","4/4 [==============================] - 0s 301us/sample - loss: 0.0033\n","Epoch 267/1000\n","4/4 [==============================] - 0s 314us/sample - loss: 0.0032\n","Epoch 268/1000\n","4/4 [==============================] - 0s 295us/sample - loss: 0.0032\n","Epoch 269/1000\n","4/4 [==============================] - 0s 326us/sample - loss: 0.0032\n","Epoch 270/1000\n","4/4 [==============================] - 0s 509us/sample - loss: 0.0032\n","Epoch 271/1000\n","4/4 [==============================] - 0s 366us/sample - loss: 0.0032\n","Epoch 272/1000\n","4/4 [==============================] - 0s 357us/sample - loss: 0.0031\n","Epoch 273/1000\n","4/4 [==============================] - 0s 344us/sample - loss: 0.0031\n","Epoch 274/1000\n","4/4 [==============================] - 0s 216us/sample - loss: 0.0031\n","Epoch 275/1000\n","4/4 [==============================] - 0s 327us/sample - loss: 0.0031\n","Epoch 276/1000\n","4/4 [==============================] - 0s 275us/sample - loss: 0.0031\n","Epoch 277/1000\n","4/4 [==============================] - 0s 276us/sample - loss: 0.0030\n","Epoch 278/1000\n","4/4 [==============================] - 0s 389us/sample - loss: 0.0030\n","Epoch 279/1000\n","4/4 [==============================] - 0s 192us/sample - loss: 0.0030\n","Epoch 280/1000\n","4/4 [==============================] - 0s 318us/sample - loss: 0.0030\n","Epoch 281/1000\n","4/4 [==============================] - 0s 284us/sample - loss: 0.0030\n","Epoch 282/1000\n","4/4 [==============================] - 0s 365us/sample - loss: 0.0030\n","Epoch 283/1000\n","4/4 [==============================] - 0s 243us/sample - loss: 0.0029\n","Epoch 284/1000\n","4/4 [==============================] - 0s 216us/sample - loss: 0.0029\n","Epoch 285/1000\n","4/4 [==============================] - 0s 508us/sample - loss: 0.0029\n","Epoch 286/1000\n","4/4 [==============================] - 0s 425us/sample - loss: 0.0029\n","Epoch 287/1000\n","4/4 [==============================] - 0s 424us/sample - loss: 0.0029\n","Epoch 288/1000\n","4/4 [==============================] - 0s 503us/sample - loss: 0.0029\n","Epoch 289/1000\n","4/4 [==============================] - 0s 347us/sample - loss: 0.0028\n","Epoch 290/1000\n","4/4 [==============================] - 0s 339us/sample - loss: 0.0028\n","Epoch 291/1000\n","4/4 [==============================] - 0s 318us/sample - loss: 0.0028\n","Epoch 292/1000\n","4/4 [==============================] - 0s 472us/sample - loss: 0.0028\n","Epoch 293/1000\n","4/4 [==============================] - 0s 428us/sample - loss: 0.0028\n","Epoch 294/1000\n","4/4 [==============================] - 0s 409us/sample - loss: 0.0028\n","Epoch 295/1000\n","4/4 [==============================] - 0s 399us/sample - loss: 0.0027\n","Epoch 296/1000\n","4/4 [==============================] - 0s 408us/sample - loss: 0.0027\n","Epoch 297/1000\n","4/4 [==============================] - 0s 425us/sample - loss: 0.0027\n","Epoch 298/1000\n","4/4 [==============================] - 0s 604us/sample - loss: 0.0027\n","Epoch 299/1000\n","4/4 [==============================] - 0s 515us/sample - loss: 0.0027\n","Epoch 300/1000\n","4/4 [==============================] - 0s 417us/sample - loss: 0.0027\n","Epoch 301/1000\n","4/4 [==============================] - 0s 403us/sample - loss: 0.0026\n","Epoch 302/1000\n","4/4 [==============================] - 0s 446us/sample - loss: 0.0026\n","Epoch 303/1000\n","4/4 [==============================] - 0s 350us/sample - loss: 0.0026\n","Epoch 304/1000\n","4/4 [==============================] - 0s 334us/sample - loss: 0.0026\n","Epoch 305/1000\n","4/4 [==============================] - 0s 426us/sample - loss: 0.0026\n","Epoch 306/1000\n","4/4 [==============================] - 0s 430us/sample - loss: 0.0026\n","Epoch 307/1000\n","4/4 [==============================] - 0s 466us/sample - loss: 0.0025\n","Epoch 308/1000\n","4/4 [==============================] - 0s 353us/sample - loss: 0.0025\n","Epoch 309/1000\n","4/4 [==============================] - 0s 417us/sample - loss: 0.0025\n","Epoch 310/1000\n","4/4 [==============================] - 0s 507us/sample - loss: 0.0025\n","Epoch 311/1000\n","4/4 [==============================] - 0s 483us/sample - loss: 0.0025\n","Epoch 312/1000\n","4/4 [==============================] - 0s 484us/sample - loss: 0.0025\n","Epoch 313/1000\n","4/4 [==============================] - 0s 466us/sample - loss: 0.0025\n","Epoch 314/1000\n","4/4 [==============================] - 0s 439us/sample - loss: 0.0024\n","Epoch 315/1000\n","4/4 [==============================] - 0s 391us/sample - loss: 0.0024\n","Epoch 316/1000\n","4/4 [==============================] - 0s 376us/sample - loss: 0.0024\n","Epoch 317/1000\n","4/4 [==============================] - 0s 500us/sample - loss: 0.0024\n","Epoch 318/1000\n","4/4 [==============================] - 0s 374us/sample - loss: 0.0024\n","Epoch 319/1000\n","4/4 [==============================] - 0s 539us/sample - loss: 0.0024\n","Epoch 320/1000\n","4/4 [==============================] - 0s 289us/sample - loss: 0.0024\n","Epoch 321/1000\n","4/4 [==============================] - 0s 2ms/sample - loss: 0.0023\n","Epoch 322/1000\n","4/4 [==============================] - 0s 501us/sample - loss: 0.0023\n","Epoch 323/1000\n","4/4 [==============================] - 0s 306us/sample - loss: 0.0023\n","Epoch 324/1000\n","4/4 [==============================] - 0s 718us/sample - loss: 0.0023\n","Epoch 325/1000\n","4/4 [==============================] - 0s 436us/sample - loss: 0.0023\n","Epoch 326/1000\n","4/4 [==============================] - 0s 359us/sample - loss: 0.0023\n","Epoch 327/1000\n","4/4 [==============================] - 0s 461us/sample - loss: 0.0023\n","Epoch 328/1000\n","4/4 [==============================] - 0s 294us/sample - loss: 0.0022\n","Epoch 329/1000\n","4/4 [==============================] - 0s 460us/sample - loss: 0.0022\n","Epoch 330/1000\n","4/4 [==============================] - 0s 500us/sample - loss: 0.0022\n","Epoch 331/1000\n","4/4 [==============================] - 0s 490us/sample - loss: 0.0022\n","Epoch 332/1000\n","4/4 [==============================] - 0s 430us/sample - loss: 0.0022\n","Epoch 333/1000\n","4/4 [==============================] - 0s 358us/sample - loss: 0.0022\n","Epoch 334/1000\n","4/4 [==============================] - 0s 450us/sample - loss: 0.0022\n","Epoch 335/1000\n","4/4 [==============================] - 0s 450us/sample - loss: 0.0022\n","Epoch 336/1000\n","4/4 [==============================] - 0s 437us/sample - loss: 0.0021\n","Epoch 337/1000\n","4/4 [==============================] - 0s 433us/sample - loss: 0.0021\n","Epoch 338/1000\n","4/4 [==============================] - 0s 514us/sample - loss: 0.0021\n","Epoch 339/1000\n","4/4 [==============================] - 0s 305us/sample - loss: 0.0021\n","Epoch 340/1000\n","4/4 [==============================] - 0s 306us/sample - loss: 0.0021\n","Epoch 341/1000\n","4/4 [==============================] - 0s 457us/sample - loss: 0.0021\n","Epoch 342/1000\n","4/4 [==============================] - 0s 340us/sample - loss: 0.0021\n","Epoch 343/1000\n","4/4 [==============================] - 0s 423us/sample - loss: 0.0020\n","Epoch 344/1000\n","4/4 [==============================] - 0s 299us/sample - loss: 0.0020\n","Epoch 345/1000\n","4/4 [==============================] - 0s 336us/sample - loss: 0.0020\n","Epoch 346/1000\n","4/4 [==============================] - 0s 309us/sample - loss: 0.0020\n","Epoch 347/1000\n","4/4 [==============================] - 0s 291us/sample - loss: 0.0020\n","Epoch 348/1000\n","4/4 [==============================] - 0s 367us/sample - loss: 0.0020\n","Epoch 349/1000\n","4/4 [==============================] - 0s 376us/sample - loss: 0.0020\n","Epoch 350/1000\n","4/4 [==============================] - 0s 458us/sample - loss: 0.0020\n","Epoch 351/1000\n","4/4 [==============================] - 0s 368us/sample - loss: 0.0020\n","Epoch 352/1000\n","4/4 [==============================] - 0s 366us/sample - loss: 0.0019\n","Epoch 353/1000\n","4/4 [==============================] - 0s 358us/sample - loss: 0.0019\n","Epoch 354/1000\n","4/4 [==============================] - 0s 344us/sample - loss: 0.0019\n","Epoch 355/1000\n","4/4 [==============================] - 0s 424us/sample - loss: 0.0019\n","Epoch 356/1000\n","4/4 [==============================] - 0s 426us/sample - loss: 0.0019\n","Epoch 357/1000\n","4/4 [==============================] - 0s 342us/sample - loss: 0.0019\n","Epoch 358/1000\n","4/4 [==============================] - 0s 497us/sample - loss: 0.0019\n","Epoch 359/1000\n","4/4 [==============================] - 0s 531us/sample - loss: 0.0019\n","Epoch 360/1000\n","4/4 [==============================] - 0s 479us/sample - loss: 0.0019\n","Epoch 361/1000\n","4/4 [==============================] - 0s 359us/sample - loss: 0.0018\n","Epoch 362/1000\n","4/4 [==============================] - 0s 348us/sample - loss: 0.0018\n","Epoch 363/1000\n","4/4 [==============================] - 0s 477us/sample - loss: 0.0018\n","Epoch 364/1000\n","4/4 [==============================] - 0s 6ms/sample - loss: 0.0018\n","Epoch 365/1000\n","4/4 [==============================] - 0s 513us/sample - loss: 0.0018\n","Epoch 366/1000\n","4/4 [==============================] - 0s 767us/sample - loss: 0.0018\n","Epoch 367/1000\n","4/4 [==============================] - 0s 656us/sample - loss: 0.0018\n","Epoch 368/1000\n","4/4 [==============================] - 0s 460us/sample - loss: 0.0018\n","Epoch 369/1000\n","4/4 [==============================] - 0s 630us/sample - loss: 0.0018\n","Epoch 370/1000\n","4/4 [==============================] - 0s 436us/sample - loss: 0.0017\n","Epoch 371/1000\n","4/4 [==============================] - 0s 589us/sample - loss: 0.0017\n","Epoch 372/1000\n","4/4 [==============================] - 0s 493us/sample - loss: 0.0017\n","Epoch 373/1000\n","4/4 [==============================] - 0s 498us/sample - loss: 0.0017\n","Epoch 374/1000\n","4/4 [==============================] - 0s 541us/sample - loss: 0.0017\n","Epoch 375/1000\n","4/4 [==============================] - 0s 494us/sample - loss: 0.0017\n","Epoch 376/1000\n","4/4 [==============================] - 0s 666us/sample - loss: 0.0017\n","Epoch 377/1000\n","4/4 [==============================] - 0s 380us/sample - loss: 0.0017\n","Epoch 378/1000\n","4/4 [==============================] - 0s 485us/sample - loss: 0.0017\n","Epoch 379/1000\n","4/4 [==============================] - 0s 717us/sample - loss: 0.0017\n","Epoch 380/1000\n","4/4 [==============================] - 0s 552us/sample - loss: 0.0016\n","Epoch 381/1000\n","4/4 [==============================] - 0s 641us/sample - loss: 0.0016\n","Epoch 382/1000\n","4/4 [==============================] - 0s 478us/sample - loss: 0.0016\n","Epoch 383/1000\n","4/4 [==============================] - 0s 453us/sample - loss: 0.0016\n","Epoch 384/1000\n","4/4 [==============================] - 0s 528us/sample - loss: 0.0016\n","Epoch 385/1000\n","4/4 [==============================] - 0s 403us/sample - loss: 0.0016\n","Epoch 386/1000\n","4/4 [==============================] - 0s 347us/sample - loss: 0.0016\n","Epoch 387/1000\n","4/4 [==============================] - 0s 569us/sample - loss: 0.0016\n","Epoch 388/1000\n","4/4 [==============================] - 0s 451us/sample - loss: 0.0016\n","Epoch 389/1000\n","4/4 [==============================] - 0s 396us/sample - loss: 0.0016\n","Epoch 390/1000\n","4/4 [==============================] - 0s 497us/sample - loss: 0.0015\n","Epoch 391/1000\n","4/4 [==============================] - 0s 483us/sample - loss: 0.0015\n","Epoch 392/1000\n","4/4 [==============================] - 0s 475us/sample - loss: 0.0015\n","Epoch 393/1000\n","4/4 [==============================] - 0s 358us/sample - loss: 0.0015\n","Epoch 394/1000\n","4/4 [==============================] - 0s 409us/sample - loss: 0.0015\n","Epoch 395/1000\n","4/4 [==============================] - 0s 522us/sample - loss: 0.0015\n","Epoch 396/1000\n","4/4 [==============================] - 0s 476us/sample - loss: 0.0015\n","Epoch 397/1000\n","4/4 [==============================] - 0s 508us/sample - loss: 0.0015\n","Epoch 398/1000\n","4/4 [==============================] - 0s 454us/sample - loss: 0.0015\n","Epoch 399/1000\n","4/4 [==============================] - 0s 478us/sample - loss: 0.0015\n","Epoch 400/1000\n","4/4 [==============================] - 0s 396us/sample - loss: 0.0015\n","Epoch 401/1000\n","4/4 [==============================] - 0s 456us/sample - loss: 0.0014\n","Epoch 402/1000\n","4/4 [==============================] - 0s 488us/sample - loss: 0.0014\n","Epoch 403/1000\n","4/4 [==============================] - 0s 616us/sample - loss: 0.0014\n","Epoch 404/1000\n","4/4 [==============================] - 0s 473us/sample - loss: 0.0014\n","Epoch 405/1000\n","4/4 [==============================] - 0s 539us/sample - loss: 0.0014\n","Epoch 406/1000\n","4/4 [==============================] - 0s 443us/sample - loss: 0.0014\n","Epoch 407/1000\n","4/4 [==============================] - 0s 731us/sample - loss: 0.0014\n","Epoch 408/1000\n","4/4 [==============================] - 0s 656us/sample - loss: 0.0014\n","Epoch 409/1000\n","4/4 [==============================] - 0s 531us/sample - loss: 0.0014\n","Epoch 410/1000\n","4/4 [==============================] - 0s 598us/sample - loss: 0.0014\n","Epoch 411/1000\n","4/4 [==============================] - 0s 491us/sample - loss: 0.0014\n","Epoch 412/1000\n","4/4 [==============================] - 0s 776us/sample - loss: 0.0014\n","Epoch 413/1000\n","4/4 [==============================] - 0s 566us/sample - loss: 0.0013\n","Epoch 414/1000\n","4/4 [==============================] - 0s 788us/sample - loss: 0.0013\n","Epoch 415/1000\n","4/4 [==============================] - 0s 853us/sample - loss: 0.0013\n","Epoch 416/1000\n","4/4 [==============================] - 0s 488us/sample - loss: 0.0013\n","Epoch 417/1000\n","4/4 [==============================] - 0s 557us/sample - loss: 0.0013\n","Epoch 418/1000\n","4/4 [==============================] - 0s 950us/sample - loss: 0.0013\n","Epoch 419/1000\n","4/4 [==============================] - 0s 505us/sample - loss: 0.0013\n","Epoch 420/1000\n","4/4 [==============================] - 0s 532us/sample - loss: 0.0013\n","Epoch 421/1000\n","4/4 [==============================] - 0s 468us/sample - loss: 0.0013\n","Epoch 422/1000\n","4/4 [==============================] - 0s 677us/sample - loss: 0.0013\n","Epoch 423/1000\n","4/4 [==============================] - 0s 585us/sample - loss: 0.0013\n","Epoch 424/1000\n","4/4 [==============================] - 0s 555us/sample - loss: 0.0013\n","Epoch 425/1000\n","4/4 [==============================] - 0s 701us/sample - loss: 0.0013\n","Epoch 426/1000\n","4/4 [==============================] - 0s 509us/sample - loss: 0.0012\n","Epoch 427/1000\n","4/4 [==============================] - 0s 567us/sample - loss: 0.0012\n","Epoch 428/1000\n","4/4 [==============================] - 0s 688us/sample - loss: 0.0012\n","Epoch 429/1000\n","4/4 [==============================] - 0s 590us/sample - loss: 0.0012\n","Epoch 430/1000\n","4/4 [==============================] - 0s 545us/sample - loss: 0.0012\n","Epoch 431/1000\n","4/4 [==============================] - 0s 525us/sample - loss: 0.0012\n","Epoch 432/1000\n","4/4 [==============================] - 0s 571us/sample - loss: 0.0012\n","Epoch 433/1000\n","4/4 [==============================] - 0s 517us/sample - loss: 0.0012\n","Epoch 434/1000\n","4/4 [==============================] - 0s 523us/sample - loss: 0.0012\n","Epoch 435/1000\n","4/4 [==============================] - 0s 402us/sample - loss: 0.0012\n","Epoch 436/1000\n","4/4 [==============================] - 0s 527us/sample - loss: 0.0012\n","Epoch 437/1000\n","4/4 [==============================] - 0s 382us/sample - loss: 0.0012\n","Epoch 438/1000\n","4/4 [==============================] - 0s 501us/sample - loss: 0.0012\n","Epoch 439/1000\n","4/4 [==============================] - 0s 533us/sample - loss: 0.0012\n","Epoch 440/1000\n","4/4 [==============================] - 0s 454us/sample - loss: 0.0011\n","Epoch 441/1000\n","4/4 [==============================] - 0s 381us/sample - loss: 0.0011\n","Epoch 442/1000\n","4/4 [==============================] - 0s 836us/sample - loss: 0.0011\n","Epoch 443/1000\n","4/4 [==============================] - 0s 528us/sample - loss: 0.0011\n","Epoch 444/1000\n","4/4 [==============================] - 0s 751us/sample - loss: 0.0011\n","Epoch 445/1000\n","4/4 [==============================] - 0s 834us/sample - loss: 0.0011\n","Epoch 446/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 0.0011\n","Epoch 447/1000\n","4/4 [==============================] - 0s 731us/sample - loss: 0.0011\n","Epoch 448/1000\n","4/4 [==============================] - 0s 3ms/sample - loss: 0.0011\n","Epoch 449/1000\n","4/4 [==============================] - 0s 625us/sample - loss: 0.0011\n","Epoch 450/1000\n","4/4 [==============================] - 0s 809us/sample - loss: 0.0011\n","Epoch 451/1000\n","4/4 [==============================] - 0s 729us/sample - loss: 0.0011\n","Epoch 452/1000\n","4/4 [==============================] - 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0s 591us/sample - loss: 9.9815e-04\n","Epoch 464/1000\n","4/4 [==============================] - 0s 532us/sample - loss: 9.9219e-04\n","Epoch 465/1000\n","4/4 [==============================] - 0s 601us/sample - loss: 9.8626e-04\n","Epoch 466/1000\n","4/4 [==============================] - 0s 490us/sample - loss: 9.8036e-04\n","Epoch 467/1000\n","4/4 [==============================] - 0s 377us/sample - loss: 9.7450e-04\n","Epoch 468/1000\n","4/4 [==============================] - 0s 938us/sample - loss: 9.6867e-04\n","Epoch 469/1000\n","4/4 [==============================] - 0s 573us/sample - loss: 9.6288e-04\n","Epoch 470/1000\n","4/4 [==============================] - 0s 516us/sample - loss: 9.5712e-04\n","Epoch 471/1000\n","4/4 [==============================] - 0s 617us/sample - loss: 9.5140e-04\n","Epoch 472/1000\n","4/4 [==============================] - 0s 618us/sample - loss: 9.4571e-04\n","Epoch 473/1000\n","4/4 [==============================] - 0s 644us/sample - loss: 9.4006e-04\n","Epoch 474/1000\n","4/4 [==============================] - 0s 500us/sample - loss: 9.3444e-04\n","Epoch 475/1000\n","4/4 [==============================] - 0s 802us/sample - loss: 9.2885e-04\n","Epoch 476/1000\n","4/4 [==============================] - 0s 486us/sample - loss: 9.2330e-04\n","Epoch 477/1000\n","4/4 [==============================] - 0s 632us/sample - loss: 9.1777e-04\n","Epoch 478/1000\n","4/4 [==============================] - 0s 493us/sample - loss: 9.1229e-04\n","Epoch 479/1000\n","4/4 [==============================] - 0s 529us/sample - loss: 9.0683e-04\n","Epoch 480/1000\n","4/4 [==============================] - 0s 532us/sample - loss: 9.0141e-04\n","Epoch 481/1000\n","4/4 [==============================] - 0s 704us/sample - loss: 8.9602e-04\n","Epoch 482/1000\n","4/4 [==============================] - 0s 557us/sample - loss: 8.9067e-04\n","Epoch 483/1000\n","4/4 [==============================] - 0s 678us/sample - loss: 8.8534e-04\n","Epoch 484/1000\n","4/4 [==============================] - 0s 590us/sample - loss: 8.8005e-04\n","Epoch 485/1000\n","4/4 [==============================] - 0s 824us/sample - loss: 8.7479e-04\n","Epoch 486/1000\n","4/4 [==============================] - 0s 687us/sample - loss: 8.6956e-04\n","Epoch 487/1000\n","4/4 [==============================] - 0s 584us/sample - loss: 8.6436e-04\n","Epoch 488/1000\n","4/4 [==============================] - 0s 624us/sample - loss: 8.5919e-04\n","Epoch 489/1000\n","4/4 [==============================] - 0s 772us/sample - loss: 8.5405e-04\n","Epoch 490/1000\n","4/4 [==============================] - 0s 561us/sample - loss: 8.4895e-04\n","Epoch 491/1000\n","4/4 [==============================] - 0s 686us/sample - loss: 8.4387e-04\n","Epoch 492/1000\n","4/4 [==============================] - 0s 528us/sample - loss: 8.3882e-04\n","Epoch 493/1000\n","4/4 [==============================] - 0s 668us/sample - loss: 8.3381e-04\n","Epoch 494/1000\n","4/4 [==============================] - 0s 688us/sample - loss: 8.2882e-04\n","Epoch 495/1000\n","4/4 [==============================] - 0s 755us/sample - loss: 8.2387e-04\n","Epoch 496/1000\n","4/4 [==============================] - 0s 574us/sample - loss: 8.1894e-04\n","Epoch 497/1000\n","4/4 [==============================] - 0s 787us/sample - loss: 8.1405e-04\n","Epoch 498/1000\n","4/4 [==============================] - 0s 632us/sample - loss: 8.0918e-04\n","Epoch 499/1000\n","4/4 [==============================] - 0s 665us/sample - loss: 8.0434e-04\n","Epoch 500/1000\n","4/4 [==============================] - 0s 769us/sample - loss: 7.9953e-04\n","Epoch 501/1000\n","4/4 [==============================] - 0s 690us/sample - loss: 7.9475e-04\n","Epoch 502/1000\n","4/4 [==============================] - 0s 650us/sample - loss: 7.9000e-04\n","Epoch 503/1000\n","4/4 [==============================] - 0s 539us/sample - loss: 7.8528e-04\n","Epoch 504/1000\n","4/4 [==============================] - 0s 824us/sample - loss: 7.8058e-04\n","Epoch 505/1000\n","4/4 [==============================] - 0s 764us/sample - loss: 7.7591e-04\n","Epoch 506/1000\n","4/4 [==============================] - 0s 535us/sample - loss: 7.7127e-04\n","Epoch 507/1000\n","4/4 [==============================] - 0s 787us/sample - loss: 7.6666e-04\n","Epoch 508/1000\n","4/4 [==============================] - 0s 419us/sample - loss: 7.6208e-04\n","Epoch 509/1000\n","4/4 [==============================] - 0s 418us/sample - loss: 7.5752e-04\n","Epoch 510/1000\n","4/4 [==============================] - 0s 570us/sample - loss: 7.5299e-04\n","Epoch 511/1000\n","4/4 [==============================] - 0s 2ms/sample - loss: 7.4849e-04\n","Epoch 512/1000\n","4/4 [==============================] - 0s 696us/sample - loss: 7.4402e-04\n","Epoch 513/1000\n","4/4 [==============================] - 0s 740us/sample - loss: 7.3957e-04\n","Epoch 514/1000\n","4/4 [==============================] - 0s 368us/sample - loss: 7.3515e-04\n","Epoch 515/1000\n","4/4 [==============================] - 0s 798us/sample - loss: 7.3075e-04\n","Epoch 516/1000\n","4/4 [==============================] - 0s 744us/sample - loss: 7.2638e-04\n","Epoch 517/1000\n","4/4 [==============================] - 0s 749us/sample - loss: 7.2204e-04\n","Epoch 518/1000\n","4/4 [==============================] - 0s 718us/sample - loss: 7.1772e-04\n","Epoch 519/1000\n","4/4 [==============================] - 0s 732us/sample - loss: 7.1343e-04\n","Epoch 520/1000\n","4/4 [==============================] - 0s 766us/sample - loss: 7.0917e-04\n","Epoch 521/1000\n","4/4 [==============================] - 0s 560us/sample - loss: 7.0493e-04\n","Epoch 522/1000\n","4/4 [==============================] - 0s 431us/sample - loss: 7.0071e-04\n","Epoch 523/1000\n","4/4 [==============================] - 0s 567us/sample - loss: 6.9652e-04\n","Epoch 524/1000\n","4/4 [==============================] - 0s 567us/sample - loss: 6.9236e-04\n","Epoch 525/1000\n","4/4 [==============================] - 0s 864us/sample - loss: 6.8822e-04\n","Epoch 526/1000\n","4/4 [==============================] - 0s 511us/sample - loss: 6.8410e-04\n","Epoch 527/1000\n","4/4 [==============================] - 0s 670us/sample - loss: 6.8001e-04\n","Epoch 528/1000\n","4/4 [==============================] - 0s 830us/sample - loss: 6.7595e-04\n","Epoch 529/1000\n","4/4 [==============================] - 0s 791us/sample - loss: 6.7190e-04\n","Epoch 530/1000\n","4/4 [==============================] - 0s 645us/sample - loss: 6.6789e-04\n","Epoch 531/1000\n","4/4 [==============================] - 0s 458us/sample - loss: 6.6389e-04\n","Epoch 532/1000\n","4/4 [==============================] - 0s 488us/sample - loss: 6.5993e-04\n","Epoch 533/1000\n","4/4 [==============================] - 0s 404us/sample - loss: 6.5598e-04\n","Epoch 534/1000\n","4/4 [==============================] - 0s 489us/sample - loss: 6.5206e-04\n","Epoch 535/1000\n","4/4 [==============================] - 0s 482us/sample - loss: 6.4816e-04\n","Epoch 536/1000\n","4/4 [==============================] - 0s 507us/sample - loss: 6.4428e-04\n","Epoch 537/1000\n","4/4 [==============================] - 0s 462us/sample - loss: 6.4043e-04\n","Epoch 538/1000\n","4/4 [==============================] - 0s 620us/sample - loss: 6.3660e-04\n","Epoch 539/1000\n","4/4 [==============================] - 0s 489us/sample - loss: 6.3280e-04\n","Epoch 540/1000\n","4/4 [==============================] - 0s 713us/sample - loss: 6.2901e-04\n","Epoch 541/1000\n","4/4 [==============================] - 0s 725us/sample - loss: 6.2525e-04\n","Epoch 542/1000\n","4/4 [==============================] - 0s 593us/sample - loss: 6.2151e-04\n","Epoch 543/1000\n","4/4 [==============================] - 0s 576us/sample - loss: 6.1780e-04\n","Epoch 544/1000\n","4/4 [==============================] - 0s 473us/sample - loss: 6.1411e-04\n","Epoch 545/1000\n","4/4 [==============================] - 0s 576us/sample - loss: 6.1043e-04\n","Epoch 546/1000\n","4/4 [==============================] - 0s 458us/sample - loss: 6.0678e-04\n","Epoch 547/1000\n","4/4 [==============================] - 0s 461us/sample - loss: 6.0316e-04\n","Epoch 548/1000\n","4/4 [==============================] - 0s 731us/sample - loss: 5.9955e-04\n","Epoch 549/1000\n","4/4 [==============================] - 0s 727us/sample - loss: 5.9597e-04\n","Epoch 550/1000\n","4/4 [==============================] - 0s 630us/sample - loss: 5.9240e-04\n","Epoch 551/1000\n","4/4 [==============================] - 0s 560us/sample - loss: 5.8886e-04\n","Epoch 552/1000\n","4/4 [==============================] - 0s 931us/sample - loss: 5.8534e-04\n","Epoch 553/1000\n","4/4 [==============================] - 0s 917us/sample - loss: 5.8184e-04\n","Epoch 554/1000\n","4/4 [==============================] - 0s 823us/sample - loss: 5.7836e-04\n","Epoch 555/1000\n","4/4 [==============================] - 0s 793us/sample - loss: 5.7490e-04\n","Epoch 556/1000\n","4/4 [==============================] - 0s 963us/sample - loss: 5.7147e-04\n","Epoch 557/1000\n","4/4 [==============================] - 0s 802us/sample - loss: 5.6805e-04\n","Epoch 558/1000\n","4/4 [==============================] - 0s 318us/sample - loss: 5.6465e-04\n","Epoch 559/1000\n","4/4 [==============================] - 0s 425us/sample - loss: 5.6128e-04\n","Epoch 560/1000\n","4/4 [==============================] - 0s 734us/sample - loss: 5.5792e-04\n","Epoch 561/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 5.5459e-04\n","Epoch 562/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 5.5127e-04\n","Epoch 563/1000\n","4/4 [==============================] - 0s 955us/sample - loss: 5.4798e-04\n","Epoch 564/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 5.4470e-04\n","Epoch 565/1000\n","4/4 [==============================] - 0s 687us/sample - loss: 5.4144e-04\n","Epoch 566/1000\n","4/4 [==============================] - 0s 675us/sample - loss: 5.3820e-04\n","Epoch 567/1000\n","4/4 [==============================] - 0s 658us/sample - loss: 5.3499e-04\n","Epoch 568/1000\n","4/4 [==============================] - 0s 635us/sample - loss: 5.3179e-04\n","Epoch 569/1000\n","4/4 [==============================] - 0s 850us/sample - loss: 5.2861e-04\n","Epoch 570/1000\n","4/4 [==============================] - 0s 646us/sample - loss: 5.2545e-04\n","Epoch 571/1000\n","4/4 [==============================] - 0s 643us/sample - loss: 5.2230e-04\n","Epoch 572/1000\n","4/4 [==============================] - 0s 662us/sample - loss: 5.1918e-04\n","Epoch 573/1000\n","4/4 [==============================] - 0s 509us/sample - loss: 5.1608e-04\n","Epoch 574/1000\n","4/4 [==============================] - 0s 499us/sample - loss: 5.1299e-04\n","Epoch 575/1000\n","4/4 [==============================] - 0s 692us/sample - loss: 5.0993e-04\n","Epoch 576/1000\n","4/4 [==============================] - 0s 733us/sample - loss: 5.0688e-04\n","Epoch 577/1000\n","4/4 [==============================] - 0s 628us/sample - loss: 5.0385e-04\n","Epoch 578/1000\n","4/4 [==============================] - 0s 526us/sample - loss: 5.0083e-04\n","Epoch 579/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 4.9784e-04\n","Epoch 580/1000\n","4/4 [==============================] - 0s 661us/sample - loss: 4.9486e-04\n","Epoch 581/1000\n","4/4 [==============================] - 0s 652us/sample - loss: 4.9191e-04\n","Epoch 582/1000\n","4/4 [==============================] - 0s 710us/sample - loss: 4.8896e-04\n","Epoch 583/1000\n","4/4 [==============================] - 0s 672us/sample - loss: 4.8604e-04\n","Epoch 584/1000\n","4/4 [==============================] - 0s 623us/sample - loss: 4.8313e-04\n","Epoch 585/1000\n","4/4 [==============================] - 0s 533us/sample - loss: 4.8024e-04\n","Epoch 586/1000\n","4/4 [==============================] - 0s 495us/sample - loss: 4.7737e-04\n","Epoch 587/1000\n","4/4 [==============================] - 0s 474us/sample - loss: 4.7452e-04\n","Epoch 588/1000\n","4/4 [==============================] - 0s 511us/sample - loss: 4.7168e-04\n","Epoch 589/1000\n","4/4 [==============================] - 0s 647us/sample - loss: 4.6886e-04\n","Epoch 590/1000\n","4/4 [==============================] - 0s 586us/sample - loss: 4.6606e-04\n","Epoch 591/1000\n","4/4 [==============================] - 0s 654us/sample - loss: 4.6327e-04\n","Epoch 592/1000\n","4/4 [==============================] - 0s 662us/sample - loss: 4.6050e-04\n","Epoch 593/1000\n","4/4 [==============================] - 0s 572us/sample - loss: 4.5775e-04\n","Epoch 594/1000\n","4/4 [==============================] - 0s 474us/sample - loss: 4.5501e-04\n","Epoch 595/1000\n","4/4 [==============================] - 0s 480us/sample - loss: 4.5229e-04\n","Epoch 596/1000\n","4/4 [==============================] - 0s 494us/sample - loss: 4.4959e-04\n","Epoch 597/1000\n","4/4 [==============================] - 0s 482us/sample - loss: 4.4690e-04\n","Epoch 598/1000\n","4/4 [==============================] - 0s 521us/sample - loss: 4.4423e-04\n","Epoch 599/1000\n","4/4 [==============================] - 0s 869us/sample - loss: 4.4157e-04\n","Epoch 600/1000\n","4/4 [==============================] - 0s 738us/sample - loss: 4.3893e-04\n","Epoch 601/1000\n","4/4 [==============================] - 0s 688us/sample - loss: 4.3631e-04\n","Epoch 602/1000\n","4/4 [==============================] - 0s 558us/sample - loss: 4.3370e-04\n","Epoch 603/1000\n","4/4 [==============================] - 0s 719us/sample - loss: 4.3111e-04\n","Epoch 604/1000\n","4/4 [==============================] - 0s 754us/sample - loss: 4.2853e-04\n","Epoch 605/1000\n","4/4 [==============================] - 0s 690us/sample - loss: 4.2597e-04\n","Epoch 606/1000\n","4/4 [==============================] - 0s 652us/sample - loss: 4.2342e-04\n","Epoch 607/1000\n","4/4 [==============================] - 0s 906us/sample - loss: 4.2089e-04\n","Epoch 608/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 4.1837e-04\n","Epoch 609/1000\n","4/4 [==============================] - 0s 967us/sample - loss: 4.1587e-04\n","Epoch 610/1000\n","4/4 [==============================] - 0s 697us/sample - loss: 4.1339e-04\n","Epoch 611/1000\n","4/4 [==============================] - 0s 996us/sample - loss: 4.1091e-04\n","Epoch 612/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 4.0845e-04\n","Epoch 613/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 4.0601e-04\n","Epoch 614/1000\n","4/4 [==============================] - 0s 730us/sample - loss: 4.0359e-04\n","Epoch 615/1000\n","4/4 [==============================] - 0s 630us/sample - loss: 4.0117e-04\n","Epoch 616/1000\n","4/4 [==============================] - 0s 887us/sample - loss: 3.9878e-04\n","Epoch 617/1000\n","4/4 [==============================] - 0s 791us/sample - loss: 3.9639e-04\n","Epoch 618/1000\n","4/4 [==============================] - 0s 473us/sample - loss: 3.9402e-04\n","Epoch 619/1000\n","4/4 [==============================] - 0s 500us/sample - loss: 3.9167e-04\n","Epoch 620/1000\n","4/4 [==============================] - 0s 647us/sample - loss: 3.8932e-04\n","Epoch 621/1000\n","4/4 [==============================] - 0s 714us/sample - loss: 3.8700e-04\n","Epoch 622/1000\n","4/4 [==============================] - 0s 552us/sample - loss: 3.8468e-04\n","Epoch 623/1000\n","4/4 [==============================] - 0s 487us/sample - loss: 3.8238e-04\n","Epoch 624/1000\n","4/4 [==============================] - 0s 707us/sample - loss: 3.8010e-04\n","Epoch 625/1000\n","4/4 [==============================] - 0s 495us/sample - loss: 3.7782e-04\n","Epoch 626/1000\n","4/4 [==============================] - 0s 669us/sample - loss: 3.7556e-04\n","Epoch 627/1000\n","4/4 [==============================] - 0s 849us/sample - loss: 3.7332e-04\n","Epoch 628/1000\n","4/4 [==============================] - 0s 664us/sample - loss: 3.7109e-04\n","Epoch 629/1000\n","4/4 [==============================] - 0s 611us/sample - loss: 3.6887e-04\n","Epoch 630/1000\n","4/4 [==============================] - 0s 635us/sample - loss: 3.6666e-04\n","Epoch 631/1000\n","4/4 [==============================] - 0s 834us/sample - loss: 3.6447e-04\n","Epoch 632/1000\n","4/4 [==============================] - 0s 521us/sample - loss: 3.6229e-04\n","Epoch 633/1000\n","4/4 [==============================] - 0s 592us/sample - loss: 3.6013e-04\n","Epoch 634/1000\n","4/4 [==============================] - 0s 652us/sample - loss: 3.5797e-04\n","Epoch 635/1000\n","4/4 [==============================] - 0s 782us/sample - loss: 3.5583e-04\n","Epoch 636/1000\n","4/4 [==============================] - 0s 744us/sample - loss: 3.5370e-04\n","Epoch 637/1000\n","4/4 [==============================] - 0s 521us/sample - loss: 3.5159e-04\n","Epoch 638/1000\n","4/4 [==============================] - 0s 616us/sample - loss: 3.4949e-04\n","Epoch 639/1000\n","4/4 [==============================] - 0s 562us/sample - loss: 3.4740e-04\n","Epoch 640/1000\n","4/4 [==============================] - 0s 739us/sample - loss: 3.4532e-04\n","Epoch 641/1000\n","4/4 [==============================] - 0s 988us/sample - loss: 3.4326e-04\n","Epoch 642/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 3.4120e-04\n","Epoch 643/1000\n","4/4 [==============================] - 0s 707us/sample - loss: 3.3916e-04\n","Epoch 644/1000\n","4/4 [==============================] - 0s 706us/sample - loss: 3.3714e-04\n","Epoch 645/1000\n","4/4 [==============================] - 0s 3ms/sample - loss: 3.3512e-04\n","Epoch 646/1000\n","4/4 [==============================] - 0s 597us/sample - loss: 3.3312e-04\n","Epoch 647/1000\n","4/4 [==============================] - 0s 666us/sample - loss: 3.3113e-04\n","Epoch 648/1000\n","4/4 [==============================] - 0s 513us/sample - loss: 3.2914e-04\n","Epoch 649/1000\n","4/4 [==============================] - 0s 734us/sample - loss: 3.2718e-04\n","Epoch 650/1000\n","4/4 [==============================] - 0s 503us/sample - loss: 3.2522e-04\n","Epoch 651/1000\n","4/4 [==============================] - 0s 581us/sample - loss: 3.2328e-04\n","Epoch 652/1000\n","4/4 [==============================] - 0s 448us/sample - loss: 3.2134e-04\n","Epoch 653/1000\n","4/4 [==============================] - 0s 554us/sample - loss: 3.1942e-04\n","Epoch 654/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 3.1751e-04\n","Epoch 655/1000\n","4/4 [==============================] - 0s 655us/sample - loss: 3.1562e-04\n","Epoch 656/1000\n","4/4 [==============================] - 0s 1ms/sample - loss: 3.1373e-04\n","Epoch 657/1000\n","4/4 [==============================] - 0s 446us/sample - loss: 3.1185e-04\n","Epoch 658/1000\n","4/4 [==============================] - 0s 495us/sample - loss: 3.0999e-04\n","Epoch 659/1000\n","4/4 [==============================] - 0s 395us/sample - loss: 3.0813e-04\n","Epoch 660/1000\n","4/4 [==============================] - 0s 540us/sample - loss: 3.0629e-04\n","Epoch 661/1000\n","4/4 [==============================] - 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