Model: "model"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) [(None, 28, 28, 1)] 0
__________________________________________________________________________________________________
zero_padding2d (ZeroPadding2D) (None, 32, 32, 1) 0 input_1[0][0]
__________________________________________________________________________________________________
conv2d (Conv2D) (None, 32, 32, 3) 6 zero_padding2d[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 32, 32, 32) 128 conv2d[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 32, 32, 32) 128 conv2d_2[0][0]
__________________________________________________________________________________________________
activation (Activation) (None, 32, 32, 32) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 32, 32, 32) 9248 activation[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 32, 32, 32) 128 conv2d_3[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 32, 32, 32) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 32, 32, 128) 512 conv2d[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 32, 32, 128) 4224 activation_1[0][0]
__________________________________________________________________________________________________
batch_normalization (BatchNorma (None, 32, 32, 128) 512 conv2d_1[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 32, 32, 128) 512 conv2d_4[0][0]
__________________________________________________________________________________________________
add (Add) (None, 32, 32, 128) 0 batch_normalization[0][0]
batch_normalization_3[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 32, 32, 128) 0 add[0][0]
__________________________________________________________________________________________________
global_average_pooling2d (Globa (None, 128) 0 activation_2[0][0]
__________________________________________________________________________________________________
dense (Dense) (None, 10) 1290 global_average_pooling2d[0][0]
==================================================================================================
Total params: 16,688
Trainable params: 16,048
Non-trainable params: 640
__________________________________________________________________________________________________