jens
7b34529b24
git-svn-id: http://moon:8086/svn/matlab/trunk@91 801c6759-fa7c-4059-a304-17956f83a07c
36 lines
1.2 KiB
Matlab
36 lines
1.2 KiB
Matlab
function pooledFeatures = cnnPool(poolDim, convolvedFeatures)
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%cnnPool Pools the given convolved features
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%
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% Parameters:
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% poolDim - dimension of pooling region
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% convolvedFeatures - convolved features to pool (as given by cnnConvolve)
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% convolvedFeatures(imageRow, imageCol, featureNum, imageNum)
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%
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% Returns:
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% pooledFeatures - matrix of pooled features in the form
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% pooledFeatures(poolRow, poolCol, featureNum, imageNum)
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%
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numImages = size(convolvedFeatures, 4);
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numFilters = size(convolvedFeatures, 3);
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convolvedDim = size(convolvedFeatures, 1);
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pooledFeatures = zeros(convolvedDim / poolDim, ...
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convolvedDim / poolDim, numFilters, numImages);
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% Instructions:
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% Now pool the convolved features in regions of poolDim x poolDim,
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% to obtain the
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% (convolvedDim/poolDim) x (convolvedDim/poolDim) x numFeatures x numImages
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% matrix pooledFeatures, such that
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% pooledFeatures(poolRow, poolCol, featureNum, imageNum) is the
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% value of the featureNum feature for the imageNum image pooled over the
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% corresponding (poolRow, poolCol) pooling region.
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%
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% Use mean pooling here.
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%%% YOUR CODE HERE %%%
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end
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