Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it is actually scanning the enter $I$ with regard to its dimensions. Its hyperparameters incorporate the filter size $F$ and stride $S$. The resulting output $O$ is called aspect map or activation map. BlackRock is https://financefeeds.com/defi-agents-ai-secures-1-2m-to-drive-innovation-in-ai-powered-decentralized-finance/