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Layer 4 is expected to have a different size(Convolutional Neural Network)?

Asked by Esra Kaya on 3 Apr 2017
Latest activity Answered by Khadija Al Jabri on 13 Nov 2017
Hi, I am working on the segmentation of retina bloodvessels with CNN. While I compose my CNN structure, I come across a problem with the size of Layer 4 which is conv2 and can not train the network. My images have 625x625X1 gray images and my network structure is below. I appreciate your help already, thanks.
if true
% code
end
inputLayer = imageInputLayer([625 625 1]);
conv1 = convolution2dLayer(25,25 , 'Stride', 25, 'Padding', 0, 'NumChannels', 1 );
relu1 = reluLayer;
conv2 = convolution2dLayer(4,22, 'Stride', 1, 'Padding', 0, 'NumChannels', 12);
relu2 = reluLayer;
norm2 = crossChannelNormalizationLayer(5);
pool2 = maxPooling2dLayer(2, 'Stride', 2, 'Padding', 1); %subsampling
conv3 = convolution2dLayer(4,8 , 'Stride', 1, 'Padding', 0, 'NumChannels', 12);
relu3 = reluLayer;
norm3 = crossChannelNormalizationLayer(5);
pool3 = maxPooling2dLayer(2, 'Stride', 2, 'Padding', 1); %subsampling
fc4 = fullyConnectedLayer(1100);
relu4 = reluLayer;
drop4 = dropoutLayer(0.5);
fc5 = fullyConnectedLayer(1);
SMAX = softmaxLayer;
ClassOut = classificationLayer;

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1 Answer

Answer by Khadija Al Jabri on 13 Nov 2017

I have the same issue!

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