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Implement maxout layer

Open subversive-owl opened this issue 7 years ago • 2 comments

See Goodfellow 2013 for paper.

subversive-owl avatar Oct 13 '17 00:10 subversive-owl

I had a quick look on it, but it looks like max pooling in one dimension which are refered to as different modesl? I have yet to sit down and dig into the details.

drahnr avatar Oct 13 '17 11:10 drahnr

Max pooling is moving a window over the input data and taking the maximum value at each step. A maxout neuron does inputs * weights and then outputs the maximum value of the result. So a max pool in a convolutional network would be equivalent to a maxout layer with all weights set to one and none of the weights are trainable

Amanita-muscaria avatar Jul 21 '20 19:07 Amanita-muscaria