Convolution layer (CONV) The convolution layer (CONV) takes advantage of filters that perform convolution operations as it really is scanning the input $I$ with respect to its Proportions. Its hyperparameters contain the filter size $F$ and stride $S$. The resulting output $O$ is called aspect map or activation map. https://financefeeds.com/top-altcoins-to-buy-in-2025-blockdag-litecoin-shiba-inu-copyright-coin-avalanche/