Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it really is scanning the enter $I$ with regard to its dimensions. Its hyperparameters include things like the filter size $File$ and stride $S$. The ensuing output $O$ is called feature map or activation map. https://financefeeds.com/uf-awards-mea-2025-announces-winners-of-the-industrys-most-credible-awards/