Google has patent for dropout layer. So if you don't want to violate it, you might as well just use random noise layer. Results pretty similar for MNIST.

convolution,1,28,28,200,8,8,0.5,-0.001
max,200,21,21,7,7
noise,1800,0.5
matrix,1800,130,0.5,-0.001
sigmoid,130
matrix,130,10,0.5,-0.001
softmax,10

Tested with WideOpenThoughts