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  1. Deep Learning

VAE: Variational Auto-Encoders

PreviousVariational InferenceNextGenerative vs Discriminative

Last updated 4 years ago

https://wiseodd.github.io/techblog/2016/12/10/variational-autoencoder/ - Probabilistic View

http://kvfrans.com/variational-autoencoders-explained/ - Neural Net View

  • Reparameterization is a important part of VAE. http://gregorygundersen.com/blog/2018/04/29/reparameterization/ - Link to understand why reparameterization is needed.

https://towardsdatascience.com/understanding-variational-autoencoders-vaes-f70510919f73towardsdatascience.com
https://towardsdatascience.com/intuitively-understanding-variational-autoencoders-1bfe67eb5daftowardsdatascience.com