A variational autoencoder (VAE) is a deep neural system that can be ... are also between 0.0 and 1.0 by using sigmoid() or relu() activation. Because both input and output values are between 0.0 and 1 ...

The model takes the input and simultaneously ... Both variational quantum circuits and multi-layered perceptrons are considered "universal approximators." To maximize output during training ...