We're going to build a variational autoencoder capable of generating novel images after being trained on a collection of images. We'll be using handwritten digit images as training data. Then we'll both generate new digits and plot out the learned embeddings. And I introduce Bayesian theory for the first time in this series :) Code for this video: https://github.com/llSourcell/how_to_... Mike's Winning Code: https://github.com/xkortex/how_to_win... SG's Runner up Code: https://github.com/esha-sg/Intro-Deep...