Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it is actually scanning the enter $I$ with respect to its Proportions. Its hyperparameters contain the filter size $F$ and stride $S$. The resulting output $O$ is called element map or activation map. Variational AutoEncoders https://financefeeds.com/when-will-the-bulls-run-experts-list-best-cryptos-to-buy-now-including-kas-xrp-sol/