Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it can be scanning the input $I$ with regard 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/how-are-copyright-whales-turning-1000-into-100000-copyright-experts-leading-coins-dogecoin-copyright-coin-and-yeti-ouro/