Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it's scanning the input $I$ with respect to its dimensions. Its hyperparameters consist of the filter size $File$ and stride $S$. The ensuing output $O$ is called function map or activation map. In https://financefeeds.com/tradewebs-money-markets-adv-nearly-doubled-year-over-year/