Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it is scanning the input $I$ with respect to its Proportions. Its hyperparameters include things like the filter size $F$ and stride $S$. The resulting output $O$ is called attribute map or activation map.Variational AutoEncoders Autoencoders h