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
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