This project demonstrates the use of a Variational AutoEncoder (VAE) to learn a latent space representation of simple synthetic data: black-and-white images of circles with varying radius, x, and y ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback