Convolution Layer (CONV) The convolution layer (CONV) works by using filters that perform convolution operations as it really is scanning the input $I$ with respect to its dimensions. Its hyperparameters involve the filter size $F$ and stride $S$. The resulting output $O$ is called element map or activation map. https://financefeeds.com/5-best-new-meme-coins-to-join-this-month-dont-miss-out-on-these-exclusive-passive-income-gems/