Convolution layer (CONV) The convolution layer (CONV) takes advantage of filters that perform convolution operations as it is actually scanning the input $I$ with respect to its Proportions. Its hyperparameters incorporate the filter size $File$ and stride $S$. The ensuing output $O$ is called function map or activation map. https://financefeeds.com/top-copyright-price-predictions-nfp-data-us-doj-bitcoin-best-altcoins-to-buy-now/