Description
This talk will provide a quick intro to Bayesian Deep Learning from a physicists perspective. We'll show how to implement state of the art algorithms by extending open source package, and how critical this approach is for real-world deployment of machine learning algorithms.Presenter(s): Speaker: Henri Palacci, Columbia University