Train on 29979 samples, validate on 3332 samples
Epoch 1/5
29979/29979 [==============================] - 139s 5ms/step - loss: 13.9506 - acc: 0.1335 - val_loss: 13.5301 - val_acc: 0.1606
Epoch 2/5
29979/29979 [==============================] - 137s 5ms/step - loss: 13.6764 - acc: 0.1514 - val_loss: 13.5301 - val_acc: 0.1606
Epoch 3/5
29979/29979 [==============================] - 137s 5ms/step - loss: 13.7536 - acc: 0.1466 - val_loss: 13.5301 - val_acc: 0.1606
Epoch 4/5
29979/29979 [==============================] - 137s 5ms/step - loss: 13.7315 - acc: 0.1480 - val_loss: 13.5301 - val_acc: 0.1606
Epoch 5/5
_________________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
cnn_input (InputLayer)       (None, 128, 192, 3)       0
_________________________________________________________________
conv2d_7 (Conv2D)            (None, 126, 190, 32)      896
_________________________________________________________________
conv2d_8 (Conv2D)            (None, 124, 188, 32)      9248
_________________________________________________________________
max_pooling2d_3 (MaxPooling2 (None, 62, 94, 32)        0
_________________________________________________________________
conv2d_9 (Conv2D)            (None, 60, 92, 64)        18496
_________________________________________________________________
flatten_3 (Flatten)          (None, 353280)            0
_________________________________________________________________
dense_7 (Dense)              (None, 128)               45219968
_________________________________________________________________
dense_8 (Dense)              (None, 32)                4128
_________________________________________________________________
dropout_3 (Dropout)          (None, 32)                0
_________________________________________________________________
dense_9 (Dense)              (None, 10)                330
=================================================================
Total params: 45,253,066
Trainable params: 45,253,066
Non-trainable params: 0