Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution operations as it can be scanning the enter $I$ with regard to its dimensions. Its hyperparameters consist of the filter size $File$ and stride $S$. The resulting output $O$ is called attribute map or activation https://financefeeds.com/best-copyright-to-buy-now-monsta-mash-mash-avalanche-avax-and-shiba-inu-shib-top-analyst-picks-for-2025-copyright-investments/