deep learning architecture can explain how connected layers and filters
some one can explain how this connections fit each to previous stage
layers = [ imageInputLayer([28 28 1])
convolution2dLayer(5,20)
reluLayer
maxPooling2dLayer(2, ‘Stride’, 2)
fullyConnectedLayer(10)
softmaxLayer
classificationLayer() ]some one can explain how this connections fit each to previous stage
layers = [ imageInputLayer([28 28 1])
convolution2dLayer(5,20)
reluLayer
maxPooling2dLayer(2, ‘Stride’, 2)
fullyConnectedLayer(10)
softmaxLayer
classificationLayer() ] some one can explain how this connections fit each to previous stage
layers = [ imageInputLayer([28 28 1])
convolution2dLayer(5,20)
reluLayer
maxPooling2dLayer(2, ‘Stride’, 2)
fullyConnectedLayer(10)
softmaxLayer
classificationLayer() ] deep learning MATLAB Answers — New Questions