Convolution Layer (CONV) The convolution layer (CONV) employs filters that perform convolution operations as it is scanning the enter $I$ with regard to its dimensions. Its hyperparameters include the filter size $F$ and stride $S$. The resulting output $O$ is called element map or activation map. While in the https://financefeeds.com/qubetics-smashes-9-6m-presale-milestone-while-cardanos-eco-driven-vision-meets-nears-ai-advancements-explore-the-best-coins-to-invest-in-today/