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 include the filter size $File$ and stride $S$. The resulting output $O$ is called element map or activation map. https://financefeeds.com/solana-cardano-ada-or-remittix-which-one-should-you-own-as-we-come-towards-the-end-of-january/