Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it's scanning the enter $I$ with regard to its dimensions. Its hyperparameters consist of the filter size $F$ and stride $S$. The ensuing output $O$ is called feature map or activation map. Each layer from https://financefeeds.com/3-cryptos-setup-for-1000-rallies-in-2025-ripple-xrp-shiba-inu-shib-and-rollblock-rblk/