Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution functions as it really is scanning the input $I$ with respect to its Proportions. Its hyperparameters involve the filter size $File$ and stride $S$. The resulting output $O$ is called feature map or activation map. It was https://financefeeds.com/4-best-copyright-coins-that-are-set-to-dominate-the-market-in-the-next-bull-run/