Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it truly is scanning the input $I$ with regard to its dimensions. Its hyperparameters contain the filter size $F$ and stride $S$. The ensuing output $O$ is called function map or activation map. It is https://financefeeds.com/nvidia-stock-nvda-a-promising-start-to-2025/