ConvNet Configuration

A

B

C

D

2 weight layers

3 weight layers

4 weight layers

5 weight layers

Input (100 × 200 × 1 image)

Conv3-16

Conv3-16

Conv3-16

Conv3-16

MaxPool

Conv3-32

Conv3-32

Conv3-32

Conv3-32

Conv3-32

Conv3-32

Conv3-32

MaxPool

Conv3-64

Conv3-64

MaxPool

Conv3-64

FC-512

Softmax-10