An autoencoder learns to predict its input ... to complement autoencoders and VAEs with advanced neural systems designed using what is called Transformer Architecture (TA). Again, there are no solid ...

[Click on image for larger view.] 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 ...