A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

Figure 2: Variational Autoencoder Architecture for the UCI Digits Dataset The key point is that a VAE learns the distribution of its source data rather than memorizing the source data. A data ...