Bayesian Neural Network | Deep Learning

[DeepBayes2019]: Day 6, Lecture 1. Bayesian neural networks

"Bayesian Neural Networks (with VI flavor)" by Yingzhen Li

133 - What are Loss functions in machine learning?

MIT 6.S191: Evidential Deep Learning and Uncertainty

Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial

Miles Cranmer | A Bayesian neural network predicts the dissolution of compact planetary systems

Loss functions in Neural Networks - EXPLAINED!

Bayesian Neural Networks by Yingzhen Li

Bayesian Neural Networks

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

Bayesian Neural Network Example (Part 4)

ML 5.5.1 Neural Network Regularization: Bayesian Interpretation

Bayesian Deep learning with 10% of the weights - Rob Romijnders

Python Example of Bayesian Neural Networks (Part 4)

Lecture 3 | Loss Functions and Optimization

[09x09] Bayesian Deep Learning through Laplace's Approximation using LaplaceRedux.jl and Flux.jl

A primer on PAC-Bayesian learning, and application to deep neural networks

DLRLSS 2019 - Bayesian Deep Learning - Roger Grosse

Why Do Deep Ensembles Wreck Bayesian Neural Networks in most classification tasks?