Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it can be scanning the enter $I$ with regard to its Proportions. Its hyperparameters incorporate the filter size $File$ and stride $S$. The ensuing output $O$ is called function map or activation map. https://financefeeds.com/pretiorates-thoughts-66-buy-babe-buy-or-maybe-not/