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 |