Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution operations as it really is scanning the input $I$ with regard to its dimensions. Its hyperparameters include the filter size $F$ and stride $S$. The resulting output $O$ is called element map or activation map. As outlined https://financefeeds.com/1fuels-potential-as-a-game-changing-project-sees-neo-and-jupiter-investors-join-in/