[DeepBayes2019]: Day 1, Lecture 1. Introduction to Bayesian methods

[@satejkhedekar]

Great speaker. Concepts are very clearly explained.

[@tiewkeehui]

28:33
Is the ensemble here the same as say, a random forest? If we're training a neural net, will this result in multiple neural networks?

[@dmitryvetrov2021]

We derive posterior distribution over the weights of DNN and may sample from it thus obtaining multiple networks

[@lahaale5840]

it is difficult for me to understand the talk, even I have already know the basic Bayesian inference.

[@vadimborisov4824]

would be helpful if you share the slides...