Train on 406708 samples, validate on 174304 samples
Epoch 1/26
406708/406708 [==============================] - 10s 24us/step - loss: 0.0293 -
accuracy: 0.9922 - val_loss: 0.0015 - val_accuracy: 0.9994
Epoch 2/26
406708/406708 [==============================] - 10s 26us/step - loss: 3.5381e-04 - accuracy: 0.9999 - val_loss: 1.5352e-05 - val_accuracy: 1.0000
Epoch 3/26
406708/406708 [==============================] - 10s 26us/step - loss: 3.6593e-04 - accuracy: 0.9999 - val_loss: 1.3790e-04 - val_accuracy: 1.0000
Epoch 4/26
406708/406708 [==============================] - 10s 25us/step - loss: 1.4982e-04 - accuracy: 1.0000 - val_loss: 3.2008e-06 - val_accuracy: 1.0000
Epoch 5/26
406708/406708 [==============================] - 10s 25us/step - loss: 1.4265e-04 - accuracy: 1.0000 - val_loss: 5.1801e-06 - val_accuracy: 1.0000
...(중간 생략)...
Epoch 21/26
406708/406708 [==============================] - 11s 27us/step - loss: 1.9403e-08 - accuracy: 1.0000 - val_loss: 4.8524e-06 - val_accuracy: 1.0000
Epoch 22/26
406708/406708 [==============================] - 11s 27us/step - loss: 1.8890e-04 - accuracy: 1.0000 - val_loss: 7.9978e-06 - val_accuracy: 1.0000
Epoch 23/26
406708/406708 [==============================] - 11s 27us/step - loss: 6.7900e-08 - accuracy: 1.0000 - val_loss: 8.8818e-08 - val_accuracy: 1.0000
Epoch 24/26
406708/406708 [==============================] - 11s 28us/step - loss: 1.1787e-04 - accuracy: 1.0000 - val_loss: 5.3235e-04 - val_accuracy: 0.9999
Epoch 25/26
406708/406708 [==============================] - 11s 28us/step - loss: 8.3980e-07 - accuracy: 1.0000 - val_loss: 7.2145e-08 - val_accuracy: 1.0000
Epoch 26/26
406708/406708 [==============================] - 11s 27us/step - loss: 1.3516e-08 - accuracy: 1.0000 - val_loss: 1.1551e-09 - val_accuracy: 1.0000