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Physics: A Gateway to Bayesian Deep Learning


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


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