Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution operations as it is actually scanning the enter $I$ with regard to its Proportions. Its hyperparameters include the filter size $F$ and stride $S$. The resulting output $O$ is called feature map or activation map. Laptop or https://financefeeds.com/best-copyright-coins-for-2025-blockdag-avalanche-sui-aptos-and-fantom-promise-massive-returns/