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Convolutional neural network: Difference between revisions
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Given an image, we have two convolution layers <math>k_{feature}</math> and <math>k_{gate}</math>.<br> | Given an image, we have two convolution layers <math>k_{feature}</math> and <math>k_{gate}</math>.<br> | ||
The output is <math>O = \phi(k_{feature}(I)) \odot \sigma(k_{gate}(I))</math> | The output is <math>O = \phi(k_{feature}(I)) \odot \sigma(k_{gate}(I))</math> | ||
==Pooling== | |||
===Unpooling=== | |||
During max pooling, remember the indices where you pulled from in "switch variables".<br> | |||
Then when unpooling, save the max value into those indices. Other indices get values of 0. | |||
[[File:unpooling_deeppainter_2016.png]] | |||