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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I am giving the timestamps as aTribute

[@codetowin]

Thanks for Posting such great content!