Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it is actually scanning the enter $I$ with respect to its dimensions. Its hyperparameters include the filter size $F$ and stride $S$. The ensuing output $O$ is called function map or activation map. * Another https://financefeeds.com/bitcoin-records-new-all-time-high-of-106000-best-cryptos-to-buy-now/