Q3- You come up with a CNN classifier. For each layer, calculate the number of weights, the size of the associated feature maps. The notation follows the convention: (2 marks)

CONV-K-Nof them of size K × K, Padding P and stride S respectively.– P – S denotes a convolutional layer with N filters, each POOLK indicates a K × K pooling layer with stride K and padding 0. FC-N stands for a fully connected layer with N neurons.