Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution operations as it is actually scanning the input $I$ with regard to its dimensions. Its hyperparameters contain the filter size $F$ and stride $S$. The resulting output $O$ is called characteristic map or activation map. The LeNet https://financefeeds.com/arctic-pablo-coin-surpasses-370000-in-presale-an-exciting-milestone-plus-an-in-depth-look-at-dogwifhat-and-floki-inus-market-movements-and-future-potential/