outputdeepL.py

_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
conv2d_1 (Conv2D) (None, 198, 198, 32) 896
_________________________________________________________________
max_pooling2d_1 (MaxPooling2 (None, 99, 99, 32) 0
_________________________________________________________________
conv2d_2 (Conv2D) (None, 97, 97, 64) 18496
_________________________________________________________________
max_pooling2d_2 (MaxPooling2 (None, 48, 48, 64) 0
_________________________________________________________________
conv2d_3 (Conv2D) (None, 46, 46, 128) 73856
_________________________________________________________________
max_pooling2d_3 (MaxPooling2 (None, 23, 23, 128) 0
_________________________________________________________________
conv2d_4 (Conv2D) (None, 21, 21, 128) 147584
_________________________________________________________________
max_pooling2d_4 (MaxPooling2 (None, 10, 10, 128) 0
_________________________________________________________________
flatten_1 (Flatten) (None, 12800) 0
_________________________________________________________________
dropout_1 (Dropout) (None, 12800) 0
_________________________________________________________________
dense_1 (Dense) (None, 512) 6554112
_________________________________________________________________
dense_2 (Dense) (None, 1) 513
=================================================================
Total params: 6,795,457
Trainable params: 6,795,457
Non-trainable params: 0