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Handle single-matrix inputs correctly #164

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Handle single-matrix inputs correctly #164

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4 changes: 2 additions & 2 deletions CNN/cnnff.m
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
% !!below can probably be handled by insane matrix operations
for j = 1 : net.layers{l}.outputmaps % for each output map
% create temp output map
z = zeros(size(net.layers{l - 1}.a{1}) - [net.layers{l}.kernelsize - 1 net.layers{l}.kernelsize - 1 0]);
z = zeros(postpad(size(net.layers{l - 1}.a{1}), 3, 1) - [net.layers{l}.kernelsize - 1 net.layers{l}.kernelsize - 1 0]);
for i = 1 : inputmaps % for each input map
% convolve with corresponding kernel and add to temp output map
z = z + convn(net.layers{l - 1}.a{i}, net.layers{l}.k{i}{j}, 'valid');
Expand All @@ -30,7 +30,7 @@
% concatenate all end layer feature maps into vector
net.fv = [];
for j = 1 : numel(net.layers{n}.a)
sa = size(net.layers{n}.a{j});
sa = postpad(size(net.layers{n}.a{j}), 3, 1);
net.fv = [net.fv; reshape(net.layers{n}.a{j}, sa(1) * sa(2), sa(3))];
end
% feedforward into output perceptrons
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