When you use noise layer instead of dropout layer in neural network

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