From Autoencoders to VAE: Smooth Latent Spaces

In the previous article we noticed that with autoencoders the learned latent space was very sparse. The locations (points) in latent space that can produce any meaningful images are few and far between. When building generative models this is a problem. We wouldn&apos;t want a model that produces