Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution functions as it is actually scanning the input $I$ with respect to its dimensions. Its hyperparameters contain the filter size $F$ and stride $S$. The resulting output $O$ is called attribute map or activation map. Knowing the https://financefeeds.com/chillguy-pumps-49-dogecoin-up-11-as-analysts-predict-new-meme-coin-will-explode-next/