VAE Lecture Project

Undergraduate course project, CPSC 440, 2021

  • Created a lecture on Variational Autoencoders which includes Variational Inference and KL-divergence derivation as well as the transition from Autoencoders and KL- divergence to VAE, we showcased and implemented Keras versions of Autoencoder, VAE as well as their deep variations and tested our implementation on MNIST, we also created assignment questions regarding KL-divergence derivation and its implementation.
  • GitHub link to project