Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it is actually scanning the enter $I$ with regard to its Proportions. Its hyperparameters incorporate the filter size $F$ and stride $S$. The ensuing output $O$ is called characteristic map or activation map. A VGG-block https://financefeeds.com/best-copyright-presales-to-invest-in-new-cryptos-that-can-100x/