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 dimensions. Its hyperparameters include the filter size $F$ and stride $S$. The ensuing output $O$ is called feature map or activation map. Variational AutoEncoders https://financefeeds.com/eur-usd-begins-2025-at-a-25-month-low/