Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it is scanning the enter $I$ with respect to its Proportions. Its hyperparameters include things like the filter size $File$ and stride $S$. The resulting output $O$ is called attribute map or activation map. BlackRock https://financefeeds.com/copyright-academy-introduces-aws-blockchain-node-runners-for-bnb-chain-course/