Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it can be scanning the input $I$ with regard to its dimensions. Its hyperparameters incorporate the filter size $F$ and stride $S$. The ensuing output $O$ is called characteristic map or activation map. It is https://financefeeds.com/5-best-ai-agent-cryptos-to-buy-for-massive-gains-in-2025/