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@dipanjanS
Created August 21, 2019 15:46
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Epoch 1/100
88/88 [=======] - 139s 2s/step - loss: 2.3190 - categorical_accuracy: 0.2356 - val_loss: 1.9669 - val_categorical_accuracy: 0.2614
Epoch 2/100
88/88 [=======] - 118s 1s/step - loss: 1.9840 - categorical_accuracy: 0.3255 - val_loss: 1.7577 - val_categorical_accuracy: 0.3500
Epoch 3/100
88/88 [=======] - 118s 1s/step - loss: 1.7720 - categorical_accuracy: 0.3823 - val_loss: 1.6397 - val_categorical_accuracy: 0.3886
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Epoch 498/500
88/88 [=======] - 118s 1s/step - loss: 0.3285 - categorical_accuracy: 0.8928 - val_loss: 0.3917 - val_categorical_accuracy: 0.8729
Epoch 499/500
88/88 [=======] - 118s 1s/step - loss: 0.3478 - categorical_accuracy: 0.8862 - val_loss: 0.3973 - val_categorical_accuracy: 0.8757
Epoch 500/500
88/88 [=======] - 118s 1s/step - loss: 0.3380 - categorical_accuracy: 0.8896 - val_loss: 0.3954 - val_categorical_accuracy: 0.8729
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