Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it is actually scanning the enter $I$ with regard to its Proportions. Its hyperparameters include the filter size $F$ and stride $S$. The ensuing output $O$ is called characteristic map or activation map. Williams. RNNs https://financefeeds.com/next-100x-copyright-presale-solaxy-predicted-to-explode-after-hitting-10m-milestone/