How moving randomness outside the computation graph turns noisy gradient estimators into low-variance, differentiable ones

The post Reparameterization Tricks: Variance Reduction by Smarter Gradients appeared first on Towards Data Science.

A clear, math-first walkthrough of how VAEs learn to generate new data

The post Variational Autoencoders (VAEs) Explained: From Theory to ELBO and the Reparameterization Trick appeared first on Towards Data Science.