cvnn20dBradioML2018

.........\Anaconda3\python.exe "..........AppData\Local\JetBrains\PyCharm Community Edition 2020.3\plugins\python-ce\helpers\pydev\pydevconsole.py" --mode=client --port=55898

import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['

Python 3.8.5 (default, Sep  3 2020, 21:29:08) [MSC v.1916 64 bit (AMD64)]
Type 'copyright', 'credits' or 'license' for more information
IPython 7.19.0 -- An enhanced Interactive Python. Type '?' for help.
PyDev console: using IPython 7.19.0

Python 3.8.5 (default, Sep  3 2020, 21:29:08) [MSC v.1916 64 bit (AMD64)] on win32
In[2]: runfile('s/CVNN20dBradioML2018.py', wdir
2021-02-20 19:01:39.208509: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2021-02-20 19:01:39.209074: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2021-02-20 19:01:45.855954: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2021-02-20 19:01:45.856496: W tensorflow/stream_executor/cuda/cuda_driver.cc:312] failed call to cuInit: UNKNOWN ERROR (303)
2021-02-20 19:01:45.860609: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: ip2979
2021-02-20 19:01:45.861261: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: ip2979
2021-02-20 19:01:45.862021: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations:  AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-02-20 19:01:45.870940: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x25beff86030 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2021-02-20 19:01:45.871623: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
Model: "sequential"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
complex_conv2d (ComplexConv2 (None, 30, 30, 32)        320       
_________________________________________________________________
complex_max_pooling2d (Compl (None, 15, 15, 32)        0         
_________________________________________________________________
complex_conv2d_1 (ComplexCon (None, 13, 13, 64)        18496     
_________________________________________________________________
complex_max_pooling2d_1 (Com (None, 6, 6, 64)          0         
_________________________________________________________________
complex_conv2d_2 (ComplexCon (None, 4, 4, 64)          36928     
_________________________________________________________________
complex_flatten (ComplexFlat (None, 1024)              0         
_________________________________________________________________
complex_dense (ComplexDense) (None, 64)                65600     
_________________________________________________________________
complex_dense_1 (ComplexDens (None, 24)                1560      
=================================================================
Total params: 122,904
Trainable params: 122,904
Non-trainable params: 0
_________________________________________________________________
Epoch 1/300
1563/1563 [==============================] - 150s 96ms/step - loss: 1.8561 - accuracy: 0.2705 - val_loss: 11.6629 - val_accuracy: 0.0000e+00
Epoch 2/300
1563/1563 [==============================] - 163s 104ms/step - loss: 1.4686 - accuracy: 0.4008 - val_loss: 11.9344 - val_accuracy: 0.0000e+00
Epoch 3/300
1563/1563 [==============================] - 160s 102ms/step - loss: 1.2893 - accuracy: 0.4614 - val_loss: 11.7770 - val_accuracy: 0.0000e+00
Epoch 4/300
1563/1563 [==============================] - 160s 102ms/step - loss: 1.2238 - accuracy: 0.4819 - val_loss: 11.8603 - val_accuracy: 0.0000e+00
Epoch 5/300
1563/1563 [==============================] - 160s 102ms/step - loss: 1.1906 - accuracy: 0.4882 - val_loss: 13.1604 - val_accuracy: 0.0000e+00
Epoch 6/300
1563/1563 [==============================] - 156s 100ms/step - loss: 1.1630 - accuracy: 0.5016 - val_loss: 14.0592 - val_accuracy: 0.0000e+00
Epoch 7/300
1563/1563 [==============================] - 155s 99ms/step - loss: 1.1331 - accuracy: 0.5097 - val_loss: 16.3315 - val_accuracy: 0.0000e+00
Epoch 8/300
1563/1563 [==============================] - 155s 99ms/step - loss: 1.0980 - accuracy: 0.5242 - val_loss: 16.7232 - val_accuracy: 0.0000e+00
Epoch 9/300
1563/1563 [==============================] - 157s 100ms/step - loss: 1.0692 - accuracy: 0.5359 - val_loss: 17.4839 - val_accuracy: 0.0000e+00
Epoch 10/300
1563/1563 [==============================] - 156s 100ms/step - loss: 1.0418 - accuracy: 0.5479 - val_loss: 18.1900 - val_accuracy: 0.0000e+00
Epoch 11/300
1563/1563 [==============================] - 158s 101ms/step - loss: 1.0270 - accuracy: 0.5507 - val_loss: 19.2142 - val_accuracy: 0.0000e+00
Epoch 12/300
1563/1563 [==============================] - 156s 100ms/step - loss: 1.0066 - accuracy: 0.5559 - val_loss: 19.5024 - val_accuracy: 0.0000e+00
Epoch 13/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.9896 - accuracy: 0.5647 - val_loss: 19.9902 - val_accuracy: 0.0000e+00
Epoch 14/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.9777 - accuracy: 0.5705 - val_loss: 18.4894 - val_accuracy: 0.0000e+00
Epoch 15/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.9634 - accuracy: 0.5765 - val_loss: 19.9142 - val_accuracy: 0.0000e+00
Epoch 16/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.9556 - accuracy: 0.5805 - val_loss: 19.6057 - val_accuracy: 6.0000e-04
Epoch 17/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.9338 - accuracy: 0.5883 - val_loss: 20.4014 - val_accuracy: 1.0000e-04
Epoch 18/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.9238 - accuracy: 0.5964 - val_loss: 21.1745 - val_accuracy: 5.0000e-04
Epoch 19/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.9127 - accuracy: 0.6014 - val_loss: 21.2762 - val_accuracy: 2.0000e-04
Epoch 20/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.9018 - accuracy: 0.6046 - val_loss: 20.6500 - val_accuracy: 4.0000e-04
Epoch 21/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.8906 - accuracy: 0.6117 - val_loss: 23.9419 - val_accuracy: 1.0000e-04
Epoch 22/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.8780 - accuracy: 0.6177 - val_loss: 22.8850 - val_accuracy: 3.0000e-04
Epoch 23/300
1563/1563 [==============================] - 160s 103ms/step - loss: 0.8614 - accuracy: 0.6229 - val_loss: 22.9252 - val_accuracy: 0.0017
Epoch 24/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.8492 - accuracy: 0.6280 - val_loss: 22.1503 - val_accuracy: 6.0000e-04
Epoch 25/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.8382 - accuracy: 0.6347 - val_loss: 22.9618 - val_accuracy: 0.0026
Epoch 26/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.8251 - accuracy: 0.6389 - val_loss: 21.0275 - val_accuracy: 0.0013
Epoch 27/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.8127 - accuracy: 0.6471 - val_loss: 22.6899 - val_accuracy: 0.0022
Epoch 28/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.7998 - accuracy: 0.6540 - val_loss: 23.2842 - val_accuracy: 0.0028
Epoch 29/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.7918 - accuracy: 0.6576 - val_loss: 23.9918 - val_accuracy: 0.0023
Epoch 30/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.7725 - accuracy: 0.6662 - val_loss: 23.5763 - val_accuracy: 0.0049
Epoch 31/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.7668 - accuracy: 0.6697 - val_loss: 23.3843 - val_accuracy: 0.0018
Epoch 32/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.7539 - accuracy: 0.6754 - val_loss: 23.0126 - val_accuracy: 0.0042
Epoch 33/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.7395 - accuracy: 0.6823 - val_loss: 26.7005 - val_accuracy: 0.0037
Epoch 34/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.7263 - accuracy: 0.6866 - val_loss: 27.2574 - val_accuracy: 0.0070
Epoch 35/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.7184 - accuracy: 0.6922 - val_loss: 26.7045 - val_accuracy: 0.0062
Epoch 36/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.7067 - accuracy: 0.6980 - val_loss: 25.7023 - val_accuracy: 0.0108
Epoch 37/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.6878 - accuracy: 0.7056 - val_loss: 26.9016 - val_accuracy: 0.0143
Epoch 38/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.6772 - accuracy: 0.7108 - val_loss: 29.6744 - val_accuracy: 0.0026
Epoch 39/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.6653 - accuracy: 0.7149 - val_loss: 28.6725 - val_accuracy: 0.0059
Epoch 40/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.6542 - accuracy: 0.7220 - val_loss: 30.3572 - val_accuracy: 0.0048
Epoch 41/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.6476 - accuracy: 0.7292 - val_loss: 29.2016 - val_accuracy: 0.0033
Epoch 42/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.6257 - accuracy: 0.7348 - val_loss: 28.6660 - val_accuracy: 0.0118
Epoch 43/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.6279 - accuracy: 0.7350 - val_loss: 30.0043 - val_accuracy: 0.0080
Epoch 44/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.6082 - accuracy: 0.7451 - val_loss: 29.1904 - val_accuracy: 0.0113
Epoch 45/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.6015 - accuracy: 0.7480 - val_loss: 31.8428 - val_accuracy: 0.0101
Epoch 46/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.5895 - accuracy: 0.7516 - val_loss: 32.8436 - val_accuracy: 0.0058
Epoch 47/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.5739 - accuracy: 0.7575 - val_loss: 32.3520 - val_accuracy: 0.0095
Epoch 48/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.5670 - accuracy: 0.7631 - val_loss: 31.1868 - val_accuracy: 0.0110
Epoch 49/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.5655 - accuracy: 0.7641 - val_loss: 32.6778 - val_accuracy: 0.0087
Epoch 50/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.5431 - accuracy: 0.7727 - val_loss: 34.6140 - val_accuracy: 0.0130
Epoch 51/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.5334 - accuracy: 0.7767 - val_loss: 33.3307 - val_accuracy: 0.0090
Epoch 52/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.5295 - accuracy: 0.7785 - val_loss: 34.0078 - val_accuracy: 0.0110
Epoch 53/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.5180 - accuracy: 0.7850 - val_loss: 33.9853 - val_accuracy: 0.0096
Epoch 54/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.5109 - accuracy: 0.7892 - val_loss: 36.2955 - val_accuracy: 0.0124
Epoch 55/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.5002 - accuracy: 0.7927 - val_loss: 33.5462 - val_accuracy: 0.0108
Epoch 56/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.4883 - accuracy: 0.7984 - val_loss: 38.4919 - val_accuracy: 0.0110
Epoch 57/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.4746 - accuracy: 0.8061 - val_loss: 39.5132 - val_accuracy: 0.0155
Epoch 58/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.4733 - accuracy: 0.8069 - val_loss: 41.7593 - val_accuracy: 0.0096
Epoch 59/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.4582 - accuracy: 0.8123 - val_loss: 43.1603 - val_accuracy: 0.0093
Epoch 60/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.4573 - accuracy: 0.8130 - val_loss: 39.8908 - val_accuracy: 0.0108
Epoch 61/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.4433 - accuracy: 0.8175 - val_loss: 40.5957 - val_accuracy: 0.0135
Epoch 62/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.4427 - accuracy: 0.8197 - val_loss: 38.3535 - val_accuracy: 0.0107
Epoch 63/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.4245 - accuracy: 0.8283 - val_loss: 44.5659 - val_accuracy: 0.0127
Epoch 64/300
1563/1563 [==============================] - 161s 103ms/step - loss: 0.4204 - accuracy: 0.8292 - val_loss: 44.8922 - val_accuracy: 0.0048
Epoch 65/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.4098 - accuracy: 0.8374 - val_loss: 44.0990 - val_accuracy: 0.0116
Epoch 66/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.4108 - accuracy: 0.8339 - val_loss: 45.7996 - val_accuracy: 0.0140
Epoch 67/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.3947 - accuracy: 0.8399 - val_loss: 48.3102 - val_accuracy: 0.0152
Epoch 68/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.3926 - accuracy: 0.8403 - val_loss: 45.6262 - val_accuracy: 0.0094
Epoch 69/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.3815 - accuracy: 0.8469 - val_loss: 46.5802 - val_accuracy: 0.0131
Epoch 70/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.3817 - accuracy: 0.8475 - val_loss: 49.0103 - val_accuracy: 0.0167
Epoch 71/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.3827 - accuracy: 0.8463 - val_loss: 48.1601 - val_accuracy: 0.0161
Epoch 72/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.3565 - accuracy: 0.8565 - val_loss: 50.5368 - val_accuracy: 0.0135
Epoch 73/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.3648 - accuracy: 0.8536 - val_loss: 47.9572 - val_accuracy: 0.0160
Epoch 74/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.3471 - accuracy: 0.8611 - val_loss: 52.0606 - val_accuracy: 0.0117
Epoch 75/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.3477 - accuracy: 0.8619 - val_loss: 47.9675 - val_accuracy: 0.0161
Epoch 76/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.3446 - accuracy: 0.8631 - val_loss: 54.0194 - val_accuracy: 0.0219
Epoch 77/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.3267 - accuracy: 0.8687 - val_loss: 54.5980 - val_accuracy: 0.0103
Epoch 78/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.3334 - accuracy: 0.8686 - val_loss: 51.6522 - val_accuracy: 0.0078
Epoch 79/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.3282 - accuracy: 0.8699 - val_loss: 53.1855 - val_accuracy: 0.0150
Epoch 80/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.3168 - accuracy: 0.8751 - val_loss: 55.3076 - val_accuracy: 0.0208
Epoch 81/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.3220 - accuracy: 0.8731 - val_loss: 55.4057 - val_accuracy: 0.0131
Epoch 82/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2982 - accuracy: 0.8813 - val_loss: 57.8500 - val_accuracy: 0.0148
Epoch 83/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.3080 - accuracy: 0.8789 - val_loss: 61.0381 - val_accuracy: 0.0156
Epoch 84/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.3033 - accuracy: 0.8801 - val_loss: 57.6568 - val_accuracy: 0.0182
Epoch 85/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.2912 - accuracy: 0.8852 - val_loss: 56.2899 - val_accuracy: 0.0128
Epoch 86/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.3018 - accuracy: 0.8834 - val_loss: 60.6015 - val_accuracy: 0.0130
Epoch 87/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.2815 - accuracy: 0.8908 - val_loss: 60.1370 - val_accuracy: 0.0217
Epoch 88/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.2809 - accuracy: 0.8923 - val_loss: 61.8237 - val_accuracy: 0.0140
Epoch 89/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2799 - accuracy: 0.8913 - val_loss: 61.2138 - val_accuracy: 0.0139
Epoch 90/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2748 - accuracy: 0.8931 - val_loss: 65.6981 - val_accuracy: 0.0165
Epoch 91/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2748 - accuracy: 0.8933 - val_loss: 65.3449 - val_accuracy: 0.0116
Epoch 92/300
1563/1563 [==============================] - 154s 98ms/step - loss: 0.2619 - accuracy: 0.8965 - val_loss: 63.8927 - val_accuracy: 0.0125
Epoch 93/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2587 - accuracy: 0.8999 - val_loss: 66.1587 - val_accuracy: 0.0212
Epoch 94/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2747 - accuracy: 0.8955 - val_loss: 71.8019 - val_accuracy: 0.0152
Epoch 95/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2569 - accuracy: 0.9026 - val_loss: 65.0668 - val_accuracy: 0.0224
Epoch 96/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.2482 - accuracy: 0.9039 - val_loss: 66.5032 - val_accuracy: 0.0122
Epoch 97/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.2613 - accuracy: 0.9005 - val_loss: 66.9840 - val_accuracy: 0.0157
Epoch 98/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2494 - accuracy: 0.9057 - val_loss: 69.1494 - val_accuracy: 0.0121
Epoch 99/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2417 - accuracy: 0.9081 - val_loss: 67.4996 - val_accuracy: 0.0178
Epoch 100/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.2407 - accuracy: 0.9072 - val_loss: 70.8109 - val_accuracy: 0.0177
Epoch 101/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.2459 - accuracy: 0.9060 - val_loss: 71.0823 - val_accuracy: 0.0110
Epoch 102/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2368 - accuracy: 0.9094 - val_loss: 71.8122 - val_accuracy: 0.0130
Epoch 103/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.2299 - accuracy: 0.9128 - val_loss: 75.6653 - val_accuracy: 0.0118
Epoch 104/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.2390 - accuracy: 0.9097 - val_loss: 77.7331 - val_accuracy: 0.0129
Epoch 105/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2327 - accuracy: 0.9138 - val_loss: 74.8891 - val_accuracy: 0.0166
Epoch 106/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2290 - accuracy: 0.9146 - val_loss: 75.6589 - val_accuracy: 0.0107
Epoch 107/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2309 - accuracy: 0.9139 - val_loss: 75.2329 - val_accuracy: 0.0127
Epoch 108/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2172 - accuracy: 0.9192 - val_loss: 76.7587 - val_accuracy: 0.0131
Epoch 109/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.2223 - accuracy: 0.9168 - val_loss: 79.5694 - val_accuracy: 0.0131
Epoch 110/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.2176 - accuracy: 0.9187 - val_loss: 81.3166 - val_accuracy: 0.0154
Epoch 111/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.2292 - accuracy: 0.9161 - val_loss: 82.3400 - val_accuracy: 0.0176
Epoch 112/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.2130 - accuracy: 0.9193 - val_loss: 85.1682 - val_accuracy: 0.0112
Epoch 113/300
1563/1563 [==============================] - 160s 103ms/step - loss: 0.2120 - accuracy: 0.9211 - val_loss: 84.1514 - val_accuracy: 0.0137
Epoch 114/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.2152 - accuracy: 0.9198 - val_loss: 79.8362 - val_accuracy: 0.0090
Epoch 115/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.2108 - accuracy: 0.9212 - val_loss: 85.7367 - val_accuracy: 0.0104
Epoch 116/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.2098 - accuracy: 0.9204 - val_loss: 81.8432 - val_accuracy: 0.0129
Epoch 117/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.2130 - accuracy: 0.9219 - val_loss: 81.2882 - val_accuracy: 0.0131
Epoch 118/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1903 - accuracy: 0.9282 - val_loss: 78.3322 - val_accuracy: 0.0215
Epoch 119/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2026 - accuracy: 0.9250 - val_loss: 88.7294 - val_accuracy: 0.0173
Epoch 120/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.2161 - accuracy: 0.9211 - val_loss: 89.5625 - val_accuracy: 0.0136
Epoch 121/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.1909 - accuracy: 0.9279 - val_loss: 88.8810 - val_accuracy: 0.0120
Epoch 122/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1935 - accuracy: 0.9294 - val_loss: 89.0263 - val_accuracy: 0.0183
Epoch 123/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1897 - accuracy: 0.9287 - val_loss: 90.5251 - val_accuracy: 0.0136
Epoch 124/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.2042 - accuracy: 0.9265 - val_loss: 88.6187 - val_accuracy: 0.0094
Epoch 125/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1851 - accuracy: 0.9307 - val_loss: 89.3961 - val_accuracy: 0.0166
Epoch 126/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1854 - accuracy: 0.9319 - val_loss: 88.2171 - val_accuracy: 0.0122
Epoch 127/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.1895 - accuracy: 0.9306 - val_loss: 93.5746 - val_accuracy: 0.0112
Epoch 128/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1856 - accuracy: 0.9329 - val_loss: 88.9555 - val_accuracy: 0.0102
Epoch 129/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1836 - accuracy: 0.9325 - val_loss: 89.0538 - val_accuracy: 0.0156
Epoch 130/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1867 - accuracy: 0.9321 - val_loss: 95.5537 - val_accuracy: 0.0159
Epoch 131/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.1859 - accuracy: 0.9326 - val_loss: 99.0900 - val_accuracy: 0.0138
Epoch 132/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.1787 - accuracy: 0.9339 - val_loss: 97.5298 - val_accuracy: 0.0106
Epoch 133/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1818 - accuracy: 0.9333 - val_loss: 91.1382 - val_accuracy: 0.0229
Epoch 134/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1801 - accuracy: 0.9338 - val_loss: 100.1416 - val_accuracy: 0.0118
Epoch 135/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1684 - accuracy: 0.9372 - val_loss: 99.3092 - val_accuracy: 0.0231
Epoch 136/300
1563/1563 [==============================] - 159s 101ms/step - loss: 0.1807 - accuracy: 0.9347 - val_loss: 98.8393 - val_accuracy: 0.0143
Epoch 137/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1777 - accuracy: 0.9346 - val_loss: 96.9461 - val_accuracy: 0.0137
Epoch 138/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.1756 - accuracy: 0.9366 - val_loss: 102.3442 - val_accuracy: 0.0107
Epoch 139/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1815 - accuracy: 0.9375 - val_loss: 109.0928 - val_accuracy: 0.0124
Epoch 140/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1845 - accuracy: 0.9343 - val_loss: 104.1417 - val_accuracy: 0.0111
Epoch 141/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1549 - accuracy: 0.9440 - val_loss: 103.2590 - val_accuracy: 0.0159
Epoch 142/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1863 - accuracy: 0.9336 - val_loss: 107.4448 - val_accuracy: 0.0147
Epoch 143/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1665 - accuracy: 0.9405 - val_loss: 103.3841 - val_accuracy: 0.0138
Epoch 144/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1693 - accuracy: 0.9393 - val_loss: 106.0263 - val_accuracy: 0.0130
Epoch 145/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1615 - accuracy: 0.9404 - val_loss: 105.4358 - val_accuracy: 0.0145
Epoch 146/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1723 - accuracy: 0.9390 - val_loss: 106.2558 - val_accuracy: 0.0155
Epoch 147/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1705 - accuracy: 0.9394 - val_loss: 104.3160 - val_accuracy: 0.0180
Epoch 148/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1554 - accuracy: 0.9434 - val_loss: 107.3631 - val_accuracy: 0.0086
Epoch 149/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1739 - accuracy: 0.9391 - val_loss: 109.8897 - val_accuracy: 0.0144
Epoch 150/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.1642 - accuracy: 0.9419 - val_loss: 109.6339 - val_accuracy: 0.0139
Epoch 151/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.1597 - accuracy: 0.9429 - val_loss: 111.6031 - val_accuracy: 0.0134
Epoch 152/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1627 - accuracy: 0.9413 - val_loss: 108.8015 - val_accuracy: 0.0147
Epoch 153/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1707 - accuracy: 0.9399 - val_loss: 109.1698 - val_accuracy: 0.0197
Epoch 154/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1583 - accuracy: 0.9442 - val_loss: 114.2565 - val_accuracy: 0.0101
Epoch 155/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1430 - accuracy: 0.9489 - val_loss: 111.0912 - val_accuracy: 0.0144
Epoch 156/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1784 - accuracy: 0.9383 - val_loss: 120.2871 - val_accuracy: 0.0134
Epoch 157/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1526 - accuracy: 0.9468 - val_loss: 120.0279 - val_accuracy: 0.0119
Epoch 158/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1653 - accuracy: 0.9419 - val_loss: 116.9281 - val_accuracy: 0.0141
Epoch 159/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1641 - accuracy: 0.9436 - val_loss: 118.4230 - val_accuracy: 0.0133
Epoch 160/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1562 - accuracy: 0.9453 - val_loss: 113.5892 - val_accuracy: 0.0152
Epoch 161/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1470 - accuracy: 0.9469 - val_loss: 116.7614 - val_accuracy: 0.0195
Epoch 162/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1611 - accuracy: 0.9436 - val_loss: 121.3091 - val_accuracy: 0.0138
Epoch 163/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.1506 - accuracy: 0.9461 - val_loss: 121.8485 - val_accuracy: 0.0110
Epoch 164/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1493 - accuracy: 0.9470 - val_loss: 116.4182 - val_accuracy: 0.0144
Epoch 165/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1522 - accuracy: 0.9479 - val_loss: 119.3494 - val_accuracy: 0.0145
Epoch 166/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1702 - accuracy: 0.9418 - val_loss: 124.2461 - val_accuracy: 0.0152
Epoch 167/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1448 - accuracy: 0.9501 - val_loss: 124.3797 - val_accuracy: 0.0144
Epoch 168/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.1481 - accuracy: 0.9486 - val_loss: 126.0721 - val_accuracy: 0.0139
Epoch 169/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1350 - accuracy: 0.9518 - val_loss: 125.4343 - val_accuracy: 0.0162
Epoch 170/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.1657 - accuracy: 0.9437 - val_loss: 128.0118 - val_accuracy: 0.0112
Epoch 171/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1315 - accuracy: 0.9523 - val_loss: 125.7958 - val_accuracy: 0.0171
Epoch 172/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1531 - accuracy: 0.9467 - val_loss: 123.2870 - val_accuracy: 0.0133
Epoch 173/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1412 - accuracy: 0.9516 - val_loss: 143.0674 - val_accuracy: 0.0092
Epoch 174/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1613 - accuracy: 0.9456 - val_loss: 132.1593 - val_accuracy: 0.0137
Epoch 175/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1235 - accuracy: 0.9558 - val_loss: 133.4810 - val_accuracy: 0.0102
Epoch 176/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1558 - accuracy: 0.9453 - val_loss: 137.5689 - val_accuracy: 0.0131
Epoch 177/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.1342 - accuracy: 0.9516 - val_loss: 132.0508 - val_accuracy: 0.0108
Epoch 178/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1398 - accuracy: 0.9519 - val_loss: 128.7435 - val_accuracy: 0.0152
Epoch 179/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1456 - accuracy: 0.9494 - val_loss: 142.3716 - val_accuracy: 0.0158
Epoch 180/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1588 - accuracy: 0.9461 - val_loss: 141.5402 - val_accuracy: 0.0134
Epoch 181/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1352 - accuracy: 0.9530 - val_loss: 136.0491 - val_accuracy: 0.0134
Epoch 182/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.1604 - accuracy: 0.9476 - val_loss: 133.9513 - val_accuracy: 0.0140
Epoch 183/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1272 - accuracy: 0.9559 - val_loss: 138.7553 - val_accuracy: 0.0136
Epoch 184/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1350 - accuracy: 0.9536 - val_loss: 133.4156 - val_accuracy: 0.0142
Epoch 185/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.1519 - accuracy: 0.9476 - val_loss: 136.1840 - val_accuracy: 0.0132
Epoch 186/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1411 - accuracy: 0.9515 - val_loss: 143.9648 - val_accuracy: 0.0187
Epoch 187/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1358 - accuracy: 0.9534 - val_loss: 136.9238 - val_accuracy: 0.0136
Epoch 188/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.1537 - accuracy: 0.9489 - val_loss: 140.7852 - val_accuracy: 0.0144
Epoch 189/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1421 - accuracy: 0.9523 - val_loss: 140.7564 - val_accuracy: 0.0135
Epoch 190/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1307 - accuracy: 0.9552 - val_loss: 146.9453 - val_accuracy: 0.0128
Epoch 191/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.1416 - accuracy: 0.9511 - val_loss: 150.2872 - val_accuracy: 0.0147
Epoch 192/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1297 - accuracy: 0.9552 - val_loss: 147.3417 - val_accuracy: 0.0167
Epoch 193/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1493 - accuracy: 0.9525 - val_loss: 144.0688 - val_accuracy: 0.0125
Epoch 194/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1400 - accuracy: 0.9537 - val_loss: 134.4420 - val_accuracy: 0.0143
Epoch 195/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1289 - accuracy: 0.9556 - val_loss: 141.5504 - val_accuracy: 0.0111
Epoch 196/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1404 - accuracy: 0.9533 - val_loss: 142.6311 - val_accuracy: 0.0123
Epoch 197/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1589 - accuracy: 0.9492 - val_loss: 142.6293 - val_accuracy: 0.0156
Epoch 198/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1250 - accuracy: 0.9569 - val_loss: 155.3388 - val_accuracy: 0.0123
Epoch 199/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1398 - accuracy: 0.9525 - val_loss: 150.4838 - val_accuracy: 0.0146
Epoch 200/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1163 - accuracy: 0.9599 - val_loss: 155.7574 - val_accuracy: 0.0113
Epoch 201/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1308 - accuracy: 0.9566 - val_loss: 156.9707 - val_accuracy: 0.0159
Epoch 202/300
1563/1563 [==============================] - 161s 103ms/step - loss: 0.1452 - accuracy: 0.9523 - val_loss: 147.8346 - val_accuracy: 0.0137
Epoch 203/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1194 - accuracy: 0.9589 - val_loss: 157.9227 - val_accuracy: 0.0155
Epoch 204/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1509 - accuracy: 0.9498 - val_loss: 152.4749 - val_accuracy: 0.0152
Epoch 205/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1118 - accuracy: 0.9611 - val_loss: 152.4192 - val_accuracy: 0.0138
Epoch 206/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1467 - accuracy: 0.9532 - val_loss: 152.6616 - val_accuracy: 0.0106
Epoch 207/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1408 - accuracy: 0.9532 - val_loss: 148.4239 - val_accuracy: 0.0133
Epoch 208/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1074 - accuracy: 0.9636 - val_loss: 152.4172 - val_accuracy: 0.0157
Epoch 209/300
1563/1563 [==============================] - 159s 101ms/step - loss: 0.1347 - accuracy: 0.9540 - val_loss: 162.0439 - val_accuracy: 0.0069
Epoch 210/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1212 - accuracy: 0.9587 - val_loss: 147.2177 - val_accuracy: 0.0105
Epoch 211/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1329 - accuracy: 0.9570 - val_loss: 160.3770 - val_accuracy: 0.0115
Epoch 212/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1246 - accuracy: 0.9581 - val_loss: 161.0647 - val_accuracy: 0.0116
Epoch 213/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1572 - accuracy: 0.9507 - val_loss: 151.9555 - val_accuracy: 0.0138
Epoch 214/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1162 - accuracy: 0.9618 - val_loss: 160.3280 - val_accuracy: 0.0098
Epoch 215/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1400 - accuracy: 0.9528 - val_loss: 158.3606 - val_accuracy: 0.0129
Epoch 216/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1151 - accuracy: 0.9604 - val_loss: 169.8458 - val_accuracy: 0.0129
Epoch 217/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1317 - accuracy: 0.9571 - val_loss: 164.9426 - val_accuracy: 0.0095
Epoch 218/300
1563/1563 [==============================] - 159s 101ms/step - loss: 0.1261 - accuracy: 0.9566 - val_loss: 158.6699 - val_accuracy: 0.0125
Epoch 219/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1308 - accuracy: 0.9566 - val_loss: 163.3000 - val_accuracy: 0.0183
Epoch 220/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1195 - accuracy: 0.9609 - val_loss: 161.0368 - val_accuracy: 0.0134
Epoch 221/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1374 - accuracy: 0.9545 - val_loss: 164.7883 - val_accuracy: 0.0124
Epoch 222/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1103 - accuracy: 0.9624 - val_loss: 170.7856 - val_accuracy: 0.0108
Epoch 223/300
1563/1563 [==============================] - 161s 103ms/step - loss: 0.1334 - accuracy: 0.9562 - val_loss: 165.1691 - val_accuracy: 0.0131
Epoch 224/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.1108 - accuracy: 0.9626 - val_loss: 175.8791 - val_accuracy: 0.0124
Epoch 225/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1402 - accuracy: 0.9551 - val_loss: 169.9694 - val_accuracy: 0.0122
Epoch 226/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1271 - accuracy: 0.9597 - val_loss: 173.9946 - val_accuracy: 0.0103
Epoch 227/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1181 - accuracy: 0.9608 - val_loss: 170.8359 - val_accuracy: 0.0107
Epoch 228/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1204 - accuracy: 0.9606 - val_loss: 174.5955 - val_accuracy: 0.0097
Epoch 229/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.1080 - accuracy: 0.9630 - val_loss: 180.8316 - val_accuracy: 0.0136
Epoch 230/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1425 - accuracy: 0.9547 - val_loss: 168.3346 - val_accuracy: 0.0112
Epoch 231/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1268 - accuracy: 0.9579 - val_loss: 175.7460 - val_accuracy: 0.0129
Epoch 232/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1321 - accuracy: 0.9593 - val_loss: 169.5362 - val_accuracy: 0.0134
Epoch 233/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1085 - accuracy: 0.9639 - val_loss: 169.7485 - val_accuracy: 0.0084
Epoch 234/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1377 - accuracy: 0.9545 - val_loss: 165.8485 - val_accuracy: 0.0159
Epoch 235/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1241 - accuracy: 0.9596 - val_loss: 177.4252 - val_accuracy: 0.0145
Epoch 236/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1235 - accuracy: 0.9602 - val_loss: 187.4835 - val_accuracy: 0.0105
Epoch 237/300
1563/1563 [==============================] - 161s 103ms/step - loss: 0.1109 - accuracy: 0.9647 - val_loss: 173.1272 - val_accuracy: 0.0201
Epoch 238/300
1563/1563 [==============================] - 160s 103ms/step - loss: 0.1244 - accuracy: 0.9600 - val_loss: 178.4931 - val_accuracy: 0.0167
Epoch 239/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1285 - accuracy: 0.9586 - val_loss: 175.5113 - val_accuracy: 0.0122
Epoch 240/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1022 - accuracy: 0.9662 - val_loss: 176.5347 - val_accuracy: 0.0125
Epoch 241/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1498 - accuracy: 0.9543 - val_loss: 181.0832 - val_accuracy: 0.0205
Epoch 242/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.0929 - accuracy: 0.9684 - val_loss: 187.4397 - val_accuracy: 0.0138
Epoch 243/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1129 - accuracy: 0.9627 - val_loss: 184.9725 - val_accuracy: 0.0194
Epoch 244/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1335 - accuracy: 0.9574 - val_loss: 182.9086 - val_accuracy: 0.0082
Epoch 245/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1210 - accuracy: 0.9613 - val_loss: 186.1220 - val_accuracy: 0.0110
Epoch 246/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1301 - accuracy: 0.9590 - val_loss: 178.4531 - val_accuracy: 0.0125
Epoch 247/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1045 - accuracy: 0.9665 - val_loss: 180.1080 - val_accuracy: 0.0123
Epoch 248/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1059 - accuracy: 0.9635 - val_loss: 187.7343 - val_accuracy: 0.0161
Epoch 249/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1187 - accuracy: 0.9616 - val_loss: 183.0916 - val_accuracy: 0.0119
Epoch 250/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1281 - accuracy: 0.9608 - val_loss: 204.9956 - val_accuracy: 0.0186
Epoch 251/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1154 - accuracy: 0.9626 - val_loss: 196.8988 - val_accuracy: 0.0170
Epoch 252/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1365 - accuracy: 0.9578 - val_loss: 182.8877 - val_accuracy: 0.0066
Epoch 253/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1139 - accuracy: 0.9627 - val_loss: 206.5681 - val_accuracy: 0.0090
Epoch 254/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1130 - accuracy: 0.9634 - val_loss: 197.7533 - val_accuracy: 0.0125
Epoch 255/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1223 - accuracy: 0.9613 - val_loss: 182.1343 - val_accuracy: 0.0153
Epoch 256/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1110 - accuracy: 0.9642 - val_loss: 192.5701 - val_accuracy: 0.0098
Epoch 257/300
1563/1563 [==============================] - 161s 103ms/step - loss: 0.1160 - accuracy: 0.9629 - val_loss: 209.2136 - val_accuracy: 0.0153
Epoch 258/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1261 - accuracy: 0.9614 - val_loss: 203.7575 - val_accuracy: 0.0137
Epoch 259/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1246 - accuracy: 0.9617 - val_loss: 188.6828 - val_accuracy: 0.0099
Epoch 260/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.1153 - accuracy: 0.9616 - val_loss: 203.0099 - val_accuracy: 0.0125
Epoch 261/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1163 - accuracy: 0.9634 - val_loss: 190.3317 - val_accuracy: 0.0128
Epoch 262/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1237 - accuracy: 0.9619 - val_loss: 192.5036 - val_accuracy: 0.0137
Epoch 263/300
1563/1563 [==============================] - 160s 103ms/step - loss: 0.0964 - accuracy: 0.9667 - val_loss: 204.1740 - val_accuracy: 0.0222
Epoch 264/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1205 - accuracy: 0.9619 - val_loss: 207.0773 - val_accuracy: 0.0113
Epoch 265/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1160 - accuracy: 0.9623 - val_loss: 206.7935 - val_accuracy: 0.0126
Epoch 266/300
1563/1563 [==============================] - 160s 103ms/step - loss: 0.1189 - accuracy: 0.9609 - val_loss: 215.2427 - val_accuracy: 0.0130
Epoch 267/300
1563/1563 [==============================] - 160s 103ms/step - loss: 0.1236 - accuracy: 0.9605 - val_loss: 201.6741 - val_accuracy: 0.0125
Epoch 268/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1242 - accuracy: 0.9638 - val_loss: 201.8304 - val_accuracy: 0.0115
Epoch 269/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1209 - accuracy: 0.9609 - val_loss: 206.7173 - val_accuracy: 0.0106
Epoch 270/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1066 - accuracy: 0.9656 - val_loss: 205.4610 - val_accuracy: 0.0187
Epoch 271/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1176 - accuracy: 0.9644 - val_loss: 213.7024 - val_accuracy: 0.0111
Epoch 272/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.1209 - accuracy: 0.9628 - val_loss: 206.9847 - val_accuracy: 0.0148
Epoch 273/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1184 - accuracy: 0.9626 - val_loss: 213.3235 - val_accuracy: 0.0184
Epoch 274/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1022 - accuracy: 0.9662 - val_loss: 205.3539 - val_accuracy: 0.0133
Epoch 275/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1166 - accuracy: 0.9635 - val_loss: 212.9507 - val_accuracy: 0.0121
Epoch 276/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1233 - accuracy: 0.9620 - val_loss: 201.0494 - val_accuracy: 0.0198
Epoch 277/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1052 - accuracy: 0.9657 - val_loss: 214.9491 - val_accuracy: 0.0135
Epoch 278/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.1269 - accuracy: 0.9605 - val_loss: 215.8427 - val_accuracy: 0.0187
Epoch 279/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1131 - accuracy: 0.9643 - val_loss: 206.9649 - val_accuracy: 0.0145
Epoch 280/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1158 - accuracy: 0.9634 - val_loss: 217.2800 - val_accuracy: 0.0112
Epoch 281/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1084 - accuracy: 0.9651 - val_loss: 218.7385 - val_accuracy: 0.0114
Epoch 282/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1195 - accuracy: 0.9634 - val_loss: 217.4019 - val_accuracy: 0.0102
Epoch 283/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.0931 - accuracy: 0.9693 - val_loss: 227.4630 - val_accuracy: 0.0164
Epoch 284/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1145 - accuracy: 0.9643 - val_loss: 221.9122 - val_accuracy: 0.0088
Epoch 285/300
1563/1563 [==============================] - 157s 100ms/step - loss: 0.1256 - accuracy: 0.9629 - val_loss: 226.0117 - val_accuracy: 0.0123
Epoch 286/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.1151 - accuracy: 0.9646 - val_loss: 228.2281 - val_accuracy: 0.0129
Epoch 287/300
1563/1563 [==============================] - 156s 100ms/step - loss: 0.1226 - accuracy: 0.9621 - val_loss: 215.3824 - val_accuracy: 0.0176
Epoch 288/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1086 - accuracy: 0.9666 - val_loss: 215.6817 - val_accuracy: 0.0202
Epoch 289/300
1563/1563 [==============================] - 157s 101ms/step - loss: 0.1117 - accuracy: 0.9658 - val_loss: 203.7359 - val_accuracy: 0.0095
Epoch 290/300
1563/1563 [==============================] - 154s 99ms/step - loss: 0.1138 - accuracy: 0.9652 - val_loss: 230.3429 - val_accuracy: 0.0108
Epoch 291/300
1563/1563 [==============================] - 155s 99ms/step - loss: 0.1034 - accuracy: 0.9663 - val_loss: 212.7086 - val_accuracy: 0.0102
Epoch 292/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1111 - accuracy: 0.9658 - val_loss: 221.8756 - val_accuracy: 0.0118
Epoch 293/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1096 - accuracy: 0.9655 - val_loss: 231.0517 - val_accuracy: 0.0121
Epoch 294/300
1563/1563 [==============================] - 159s 102ms/step - loss: 0.1089 - accuracy: 0.9657 - val_loss: 233.8813 - val_accuracy: 0.0110
Epoch 295/300
1563/1563 [==============================] - 159s 101ms/step - loss: 0.1196 - accuracy: 0.9628 - val_loss: 238.0660 - val_accuracy: 0.0118
Epoch 296/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1100 - accuracy: 0.9648 - val_loss: 225.0455 - val_accuracy: 0.0100
Epoch 297/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1204 - accuracy: 0.9638 - val_loss: 220.2721 - val_accuracy: 0.0092
Epoch 298/300
1563/1563 [==============================] - 160s 102ms/step - loss: 0.1006 - accuracy: 0.9686 - val_loss: 215.2656 - val_accuracy: 0.0175
Epoch 299/300
1563/1563 [==============================] - 161s 103ms/step - loss: 0.1218 - accuracy: 0.9632 - val_loss: 236.8741 - val_accuracy: 0.0147
Epoch 300/300
1563/1563 [==============================] - 158s 101ms/step - loss: 0.1076 - accuracy: 0.9665 - val_loss: 218.9591 - val_accuracy: 0.0117
313/313 - 12s - loss: 218.9591 - accuracy: 0.0117