Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial
1:57:07
YouTubeAndrew Gordon Wilson
Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial
Bayesian Deep Learning and a Probabilistic Perspective of Model Construction ICML 2020 Tutorial Bayesian inference is especially compelling for deep neural networks. The key distinguishing property of a Bayesian approach is marginalization instead of optimization. Neural networks are typically underspecified by the data, and can represent many ...
45.9K viewsJul 27, 2020
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