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训练.txt
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(C:\ProgramData\Anaconda3) C:\Users\Sea\GitHub\DeepLearning_Wavelet-LSTM\v0.5.7>python tensorflow_train_LSTMs.py
<class 'numpy.ndarray'>
(10, 2560, 83)
WARNING:tensorflow:From C:\Users\Sea\GitHub\DeepLearning_Wavelet-LSTM\v0.5.7\tensorflow_LSTMs.py:59: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Future major versions of TensorFlow will allow gradients to flow
into the labels input on backprop by default.
See @{tf.nn.softmax_cross_entropy_with_logits_v2}.
2018-05-20 07:00:49.767214: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
Step 1, Minibatch Loss= 0.7150, Training Accuracy= 0.780
Step 10, Minibatch Loss= 0.7531, Training Accuracy= 0.604
Step 20, Minibatch Loss= 0.6526, Training Accuracy= 0.838
Step 30, Minibatch Loss= 0.7162, Training Accuracy= 0.710
Step 40, Minibatch Loss= 0.5128, Training Accuracy= 0.792
Step 50, Minibatch Loss= 0.6462, Training Accuracy= 0.804
Step 60, Minibatch Loss= 0.5136, Training Accuracy= 0.854
Step 70, Minibatch Loss= 0.4547, Training Accuracy= 0.817
Step 80, Minibatch Loss= 0.4703, Training Accuracy= 0.802
Step 90, Minibatch Loss= 0.6366, Training Accuracy= 0.735
Step 100, Minibatch Loss= 0.7101, Training Accuracy= 0.654
Step 110, Minibatch Loss= 0.5694, Training Accuracy= 0.983
Step 120, Minibatch Loss= 0.7017, Training Accuracy= 0.852
Step 130, Minibatch Loss= 0.5535, Training Accuracy= 0.784
Step 140, Minibatch Loss= 0.4046, Training Accuracy= 0.830
Step 150, Minibatch Loss= 0.5254, Training Accuracy= 0.764
Step 160, Minibatch Loss= 0.6102, Training Accuracy= 0.800
Step 170, Minibatch Loss= 0.6324, Training Accuracy= 0.803
Step 180, Minibatch Loss= 0.6254, Training Accuracy= 0.676
Step 190, Minibatch Loss= 0.4064, Training Accuracy= 0.826
Step 200, Minibatch Loss= 0.3660, Training Accuracy= 0.847
Model saved in file: tf_model_lstm/model_200.ckpt
Step 210, Minibatch Loss= 0.4068, Training Accuracy= 0.837
Step 220, Minibatch Loss= 0.5272, Training Accuracy= 0.758
Step 230, Minibatch Loss= 0.6878, Training Accuracy= 0.656
Step 240, Minibatch Loss= 0.3641, Training Accuracy= 0.838
Step 250, Minibatch Loss= 0.4923, Training Accuracy= 0.797
Step 260, Minibatch Loss= 0.6621, Training Accuracy= 0.642
Step 270, Minibatch Loss= 0.6223, Training Accuracy= 0.741
Step 280, Minibatch Loss= 0.6638, Training Accuracy= 0.697
Step 290, Minibatch Loss= 0.9325, Training Accuracy= 0.803
Step 300, Minibatch Loss= 0.3507, Training Accuracy= 0.853
Step 310, Minibatch Loss= 0.3516, Training Accuracy= 0.861
Step 320, Minibatch Loss= 0.3891, Training Accuracy= 0.833
Step 330, Minibatch Loss= 0.5046, Training Accuracy= 0.734
Step 340, Minibatch Loss= 0.5843, Training Accuracy= 0.806
Step 350, Minibatch Loss= 0.4839, Training Accuracy= 0.761
Step 360, Minibatch Loss= 0.6379, Training Accuracy= 0.690
Step 370, Minibatch Loss= 0.5487, Training Accuracy= 0.751
Step 380, Minibatch Loss= 0.5169, Training Accuracy= 0.690
Step 390, Minibatch Loss= 0.6011, Training Accuracy= 0.878
Step 400, Minibatch Loss= 0.3671, Training Accuracy= 0.838
Step 410, Minibatch Loss= 0.5274, Training Accuracy= 0.762
Step 420, Minibatch Loss= 0.5374, Training Accuracy= 0.755
Step 430, Minibatch Loss= 0.9175, Training Accuracy= 0.781
Step 440, Minibatch Loss= 0.4556, Training Accuracy= 0.813
Step 450, Minibatch Loss= 0.4785, Training Accuracy= 0.791
Step 460, Minibatch Loss= 0.5190, Training Accuracy= 0.771
Step 470, Minibatch Loss= 0.3312, Training Accuracy= 0.861
Step 480, Minibatch Loss= 0.3032, Training Accuracy= 0.873
Step 490, Minibatch Loss= 0.5286, Training Accuracy= 0.824
Step 500, Minibatch Loss= 0.5362, Training Accuracy= 0.750
Model saved in file: tf_model_lstm/model_500.ckpt
Step 510, Minibatch Loss= 0.4717, Training Accuracy= 0.816
Step 520, Minibatch Loss= 0.3410, Training Accuracy= 0.859
Step 530, Minibatch Loss= 0.3232, Training Accuracy= 0.864
Step 540, Minibatch Loss= 0.4217, Training Accuracy= 0.824
Step 550, Minibatch Loss= 0.5152, Training Accuracy= 0.791
Step 560, Minibatch Loss= 0.5157, Training Accuracy= 0.761
Step 570, Minibatch Loss= 0.3958, Training Accuracy= 0.830
Step 580, Minibatch Loss= 0.8830, Training Accuracy= 0.782
Step 590, Minibatch Loss= 0.6373, Training Accuracy= 0.620
Step 600, Minibatch Loss= 0.4896, Training Accuracy= 0.689
Step 610, Minibatch Loss= 0.4017, Training Accuracy= 0.828
Step 620, Minibatch Loss= 0.8161, Training Accuracy= 0.575
Step 630, Minibatch Loss= 0.3118, Training Accuracy= 0.854
Step 640, Minibatch Loss= 0.4803, Training Accuracy= 0.834
Step 650, Minibatch Loss= 0.3343, Training Accuracy= 0.865
Step 660, Minibatch Loss= 0.3175, Training Accuracy= 0.866
Step 670, Minibatch Loss= 0.4937, Training Accuracy= 0.824
Step 680, Minibatch Loss= 0.6479, Training Accuracy= 0.785
Step 690, Minibatch Loss= 0.6301, Training Accuracy= 0.778
Step 700, Minibatch Loss= 0.5040, Training Accuracy= 0.751
Step 710, Minibatch Loss= 0.4653, Training Accuracy= 0.826
Step 720, Minibatch Loss= 0.5194, Training Accuracy= 0.806
Step 730, Minibatch Loss= 0.6518, Training Accuracy= 0.781
Step 740, Minibatch Loss= 0.4668, Training Accuracy= 0.930
Step 750, Minibatch Loss= 0.7207, Training Accuracy= 0.729
Step 760, Minibatch Loss= 0.4600, Training Accuracy= 0.768
Step 770, Minibatch Loss= 0.2890, Training Accuracy= 0.871
Step 780, Minibatch Loss= 0.4417, Training Accuracy= 0.809
Step 790, Minibatch Loss= 0.6889, Training Accuracy= 0.734
Step 800, Minibatch Loss= 0.4673, Training Accuracy= 0.765
Step 810, Minibatch Loss= 0.3063, Training Accuracy= 0.929
Step 820, Minibatch Loss= 0.4818, Training Accuracy= 0.761
Step 830, Minibatch Loss= 0.6420, Training Accuracy= 0.715
Step 840, Minibatch Loss= 0.3278, Training Accuracy= 0.846
Step 850, Minibatch Loss= 0.4446, Training Accuracy= 0.788
Step 860, Minibatch Loss= 0.4064, Training Accuracy= 0.768
Step 870, Minibatch Loss= 0.4683, Training Accuracy= 0.757
Step 880, Minibatch Loss= 0.2663, Training Accuracy= 0.881
Step 890, Minibatch Loss= 0.5579, Training Accuracy= 0.741
Step 900, Minibatch Loss= 0.5937, Training Accuracy= 0.644
Step 910, Minibatch Loss= 0.3877, Training Accuracy= 0.763
Step 920, Minibatch Loss= 0.3859, Training Accuracy= 0.827
Step 930, Minibatch Loss= 0.3866, Training Accuracy= 0.843
Step 940, Minibatch Loss= 0.7885, Training Accuracy= 0.721
Step 950, Minibatch Loss= 0.4075, Training Accuracy= 0.829
Step 960, Minibatch Loss= 0.4380, Training Accuracy= 0.800
Step 970, Minibatch Loss= 0.3574, Training Accuracy= 0.801
Step 980, Minibatch Loss= 0.5314, Training Accuracy= 0.861
Step 990, Minibatch Loss= 0.3981, Training Accuracy= 0.852
Step 1000, Minibatch Loss= 0.7555, Training Accuracy= 0.724
Model saved in file: tf_model_lstm/model_1000.ckpt
Step 1010, Minibatch Loss= 0.5924, Training Accuracy= 0.691
Step 1020, Minibatch Loss= 0.2590, Training Accuracy= 0.941
Step 1030, Minibatch Loss= 0.3606, Training Accuracy= 0.857
Step 1040, Minibatch Loss= 1.0135, Training Accuracy= 0.595
Step 1050, Minibatch Loss= 0.8767, Training Accuracy= 0.578
Step 1060, Minibatch Loss= 0.2584, Training Accuracy= 0.860
Step 1070, Minibatch Loss= 0.2462, Training Accuracy= 0.937
Step 1080, Minibatch Loss= 0.5030, Training Accuracy= 0.775
Step 1090, Minibatch Loss= 0.1982, Training Accuracy= 0.950
Step 1100, Minibatch Loss= 0.2035, Training Accuracy= 0.955
Step 1110, Minibatch Loss= 0.4457, Training Accuracy= 0.727
Step 1120, Minibatch Loss= 0.4839, Training Accuracy= 0.768
Step 1130, Minibatch Loss= 0.2921, Training Accuracy= 0.893
Step 1140, Minibatch Loss= 0.4271, Training Accuracy= 0.850
Step 1150, Minibatch Loss= 0.4142, Training Accuracy= 0.856
Step 1160, Minibatch Loss= 0.3834, Training Accuracy= 0.819
Step 1170, Minibatch Loss= 0.5139, Training Accuracy= 0.845
Step 1180, Minibatch Loss= 0.4752, Training Accuracy= 0.740
Step 1190, Minibatch Loss= 0.4183, Training Accuracy= 0.840
Step 1200, Minibatch Loss= 0.2477, Training Accuracy= 0.940
Step 1210, Minibatch Loss= 0.5137, Training Accuracy= 0.790
Step 1220, Minibatch Loss= 0.6398, Training Accuracy= 0.695
Step 1230, Minibatch Loss= 0.3747, Training Accuracy= 0.866
Step 1240, Minibatch Loss= 0.3873, Training Accuracy= 0.780
Step 1250, Minibatch Loss= 0.3688, Training Accuracy= 0.940
Step 1260, Minibatch Loss= 0.7541, Training Accuracy= 0.716
Step 1270, Minibatch Loss= 0.2011, Training Accuracy= 0.964
Step 1280, Minibatch Loss= 0.4656, Training Accuracy= 0.777
Step 1290, Minibatch Loss= 0.2629, Training Accuracy= 0.928
Step 1300, Minibatch Loss= 0.2126, Training Accuracy= 0.946
Step 1310, Minibatch Loss= 0.2450, Training Accuracy= 0.947
Step 1320, Minibatch Loss= 0.5921, Training Accuracy= 0.696
Step 1330, Minibatch Loss= 0.3037, Training Accuracy= 0.894
Step 1340, Minibatch Loss= 0.3191, Training Accuracy= 0.868
Step 1350, Minibatch Loss= 0.2505, Training Accuracy= 0.937
Step 1360, Minibatch Loss= 0.3455, Training Accuracy= 0.858
Step 1370, Minibatch Loss= 0.4872, Training Accuracy= 0.764
Step 1380, Minibatch Loss= 0.2285, Training Accuracy= 0.936
Step 1390, Minibatch Loss= 0.4162, Training Accuracy= 0.788
Step 1400, Minibatch Loss= 0.3234, Training Accuracy= 0.935
Step 1410, Minibatch Loss= 0.2060, Training Accuracy= 0.950
Step 1420, Minibatch Loss= 0.3816, Training Accuracy= 0.800
Step 1430, Minibatch Loss= 0.4086, Training Accuracy= 0.821
Step 1440, Minibatch Loss= 0.2172, Training Accuracy= 0.934
Step 1450, Minibatch Loss= 0.5374, Training Accuracy= 0.719
Step 1460, Minibatch Loss= 0.4758, Training Accuracy= 0.784
Step 1470, Minibatch Loss= 0.5595, Training Accuracy= 0.693
Step 1480, Minibatch Loss= 0.2252, Training Accuracy= 0.945
Step 1490, Minibatch Loss= 0.3741, Training Accuracy= 0.792
Step 1500, Minibatch Loss= 0.5066, Training Accuracy= 0.769
Model saved in file: tf_model_lstm/model_1500.ckpt
Optimization Finished(优化完成)!
Model saved in file: tf_model_lstm/model.ckpt
Testing Accuracy(测试集正确率): 0.769141
running time: 11043