You might have heard of VAE. Maybe even used it in those generative models. But have you ever thought about the math behind it? What's the problem VAE originally aim to solve?
A quick intro to Geometric Deep Learning(WIP)
This article aims to answer what Geometric Deep Learning is, how it works and why it is useful by providing you a quick walk-through to derive convolution from shift-equivariance.