Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution functions as it is actually scanning the input $I$ with respect to its Proportions. Its hyperparameters include the filter size $File$ and stride $S$. The ensuing output $O$ is called element map or activation map. > Risks: https://financefeeds.com/the-race-is-on-arctic-pablo-surges-as-the-best-copyright-presale-to-buy-in-2025-with-53000-roi-amid-pudgy-penguins-and-turbos-surge/