deep learning architecture can explain how connected layers and filters

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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()   ]

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R2018a

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