Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it is actually scanning the enter $I$ with respect to its dimensions. Its hyperparameters contain the filter size $F$ and stride $S$. The ensuing output $O$ is called characteristic map or activation map. https://financefeeds.com/top-10-hidden-copyright-gems-set-to-boom-in-2025-list/