Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it can be scanning the enter $I$ with respect to its dimensions. Its hyperparameters incorporate the filter size $F$ and stride $S$. The ensuing output $O$ is called function map or activation map. https://financefeeds.com/expert-says-copyright-all-stars-is-the-next-100x-meme-coin-2-days-left-to-join-21m-presale/