Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution functions as it is actually scanning the input $I$ with regard to its Proportions. Its hyperparameters involve the filter size $F$ and stride $S$. The resulting output $O$ is called aspect map or activation map. It is https://financefeeds.com/solanas-first-layer-2-blockchain-solaxy-raises-2-8m-in-just-5-days-next-100x-presale/