Advanced Deep Learning with Keras

Chapter 1
Listing 1.4.2 shows a summary of a CNN MNIST digit classifier:
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
conv2d_1 (Conv2D) (None, 26, 26, 64) 640
_________________________________________________________________
max_pooling2d_1 (MaxPooling2 (None, 13, 13, 64) 0
_________________________________________________________________
conv2d_2 (Conv2D) (None, 11, 11, 64) 36928
_________________________________________________________________
max_pooling2d_2 (MaxPooling2 (None, 5, 5, 64) 0
_________________________________________________________________
conv2d_3 (Conv2D) (None, 3, 3, 64) 36928
_________________________________________________________________
flatten_1 (Flatten) (None, 576) 0
_________________________________________________________________
dropout_1 (Dropout) (None, 576) 0
_________________________________________________________________
dense_1 (Dense) (None, 10) 5770
_________________________________________________________________
activation_1 (Activation) (None, 10) 0
=================================================================
Total params: 80,266
Trainable params: 80,266
Non-trainable params: 0
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