Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution functions as it really is scanning the input $I$ with respect to its Proportions. Its hyperparameters consist of the filter size $File$ and stride $S$. The ensuing output $O$ is called function map or activation https://financefeeds.com/4-best-copyright-presales-to-invest-in-after-pepe-unchained-generated-470-returns/