use Conv2d
use Linear

use ReLU
use Softmax

use Transform

[LeNet]

  * N: number of classes = 10

  [Conv2d]
    * kernel size = 5
    * stride = 2

  [Softmax]
    * axis = -1

  #0 Input Gray image = Ic, H  , W
  #1 Conv2d + ReLU    = 32, H/2, W/2
  #2 Conv2d + ReLU    = 64, H/4, W/4
  #3 Transform        = 64* H/4* W/4
  #4 Linear + Softmax = N