@InnovArul, thanks for your help. However, I am confused with the neuron terminology answered at https://stackoverflow.com/a/52273707/15009452 1
The answer says that the number of neurons in a convolution layer depends on the size of the image. But, if the layer dimensions are [16,6,5,5], there are 6 input channels with 16 filters in the current layer producing 16 output channels having filter dimensions as 5x5. I don’t see any relation with the input size here. Can you please explain? It would be a great help.