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

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Esra Kaya
Esra Kaya on 3 Apr 2017
Answered: Huma Chaudhry on 25 Jun 2020
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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Answers (2)


Huma Chaudhry
Huma Chaudhry on 25 Jun 2020
Most likely the issue is with the DEPTH of the block. Check the network parameters and see if the input network and output network have suitable depth.

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