increase number of hidden layers

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Sajitha K.N.
Sajitha K.N. on 27 Apr 2020
This is my matlab code
layers = [
imageInputLayer([256 256 3])
convolution2dLayer(4,13,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(11,'Stride',11)
convolution2dLayer(7,28,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(11,'Stride',11)
convolution2dLayer(5,34,'Padding','same')
batchNormalizationLayer
reluLayer
fullyConnectedLayer(38)
softmaxLayer
classificationLayer];
options = trainingOptions('sgdm', ...
'InitialLearnRate',0.06, ...
'MaxEpochs',10, ...
'Shuffle','every-epoch', ...
'ValidationData',imdsValidation, ...
'ValidationFrequency',30, ...
'Verbose',false, ...
'Plots','training-progress');
net = trainNetwork(imdsTrain,layers,options);
YPred = classify(net,imdsValidation);
YValidation = imdsValidation.Labels;
accuracy = sum(YPred == YValidation)/numel(YValidation)
I want to increase the no of hidden layers. please somebody help.

Answers (1)

Srivardhan Gadila
Srivardhan Gadila on 3 May 2020
You can refer to List of Deep Learning Layers and add layers like convolution2dLayer, fullyConnectedLayer to your above layer array.
layers = [
imageInputLayer([256 256 3])
convolution2dLayer(4,13,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(11,'Stride',11)
convolution2dLayer(7,28,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(11,'Stride',11)
convolution2dLayer(5,34,'Padding','same')
batchNormalizationLayer
reluLayer
fullyConnectedLayer(38)
softmaxLayer
classificationLayer];

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