Convolutional Neural Network Example

As you go deeper to the network, decrease while increases.

The common construction of Conv net is

conv pool conv pool FC FC FC softmax

Activation Shape Activation Size # parameters
Input (32,32,3) 3072 0
CONV1 (f=5, s=1) (28,28,8) 6272 208
POOL1 (14,14,8) 1568 0
CONV2 (f=5, s=1) (10,10,16) 1600 416
POOL2 (5,5,16) 400 0
FC3 (120,1) 120 48,001
FC4 (84,1) 84 10,081
Softmax (10,1) 10 841

Activation size should gradually decrease.