[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 ...

but for simplicity the illustrated autoencoder has architecture 9-2-9 (just 2 hidden nodes) instead of the 9-6-9 architecture of the demo autoencoder. A neural autoencoder is essentially a complex ...