Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution functions as it is actually scanning the enter $I$ with respect to its Proportions. Its hyperparameters incorporate the filter size $F$ and stride $S$. The ensuing output $O$ is called aspect map or activation map.Knowing the complexity from the model In ord