Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it is scanning the input $I$ with respect to its dimensions. Its hyperparameters contain the filter size $File$ and stride $S$. The ensuing output $O$ is called function map or activation map. A VGG-block experienced https://financefeeds.com/5-new-cryptocurrencies-that-could-be-the-next-100x-moonshot/