Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution functions as it's scanning the input $I$ with regard to its dimensions. Its hyperparameters contain the filter size $F$ and stride $S$. The resulting output $O$ is called element map or activation map. In accordance with research https://financefeeds.com/best-meme-coins-to-buy-now-5-unmissable-moonshots/