Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution operations as it can be scanning the input $I$ with regard to its Proportions. Its hyperparameters include things like the filter size $F$ and stride $S$. The ensuing output $O$ is called attribute map or activation map. https://financefeeds.com/toshi-pumps-300-after-copyright-listing-next-meme-coin-listings-to-watch/