Convolution layer (CONV) The convolution layer (CONV) takes advantage of filters that perform convolution functions as it is actually scanning the enter $I$ with regard to its Proportions. Its hyperparameters contain the filter size $File$ and stride $S$. The resulting output $O$ is called characteristic map or activation map.Index funds request to