Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it is actually scanning the input $I$ with regard to its dimensions. Its hyperparameters include things like the filter size $F$ and stride $S$. The resulting output $O$ is called function map or activation map. https://financefeeds.com/trump-to-1000-skyren-dao-offers-an-alternative-path-to-copyright-riches/