Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it truly is scanning the input $I$ with respect to its dimensions. Its hyperparameters involve the filter size $File$ and stride $S$. The ensuing output $O$ is called characteristic map or activation map. https://financefeeds.com/missed-pepe-coin-in-2023-no-problem-heres-1-token-set-to-recreate-pepes-best-year-in-4-months/