Andrew Rowan - Bayesian Deep Learning with Edward (and a trick using Dropout)

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00:17 Roadmap 00:56 Deep Learning 02:19 Drawbacks of Standard Deep Learning 03:13 Probabilistic Machine Learning 04:17 Bayesian Neural Networks 07:28 History of Bayesian Neural Networks 08:15 Modern Revival: Bayesian Deep Learning 08:47 Probabilistic Programming with Edward 11:14 Edward 14:53 Inference in Edward 15:54 Variational Inference 18:24 Black Box Variational Inference with Edward 18:50 Dropout as a Bayesian Approximation 22:34 MC Dropout Experiments 22:54 Experiments 27:20 Model Specific versus Black Box 29:29 Current Research in Variational Inference 30:27 QnA

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Thanks for Posting such great content!

[@codetowin]

I am giving the timestamps as aTribute