IAM

TAG»MACHINE LEARNING«

ARTICLE

A Short Introduction to Bayesian Neural Networks

With the rising success of deep neural networks, their reliability in terms of robustness (for example, against various kinds of adversarial examples) and confidence estimates becomes increasingly important. Bayesian neural networks promise to address these issues by directly modeling the uncertainty of the estimated network weights. In this article, I want to give a short introduction of training Bayesian neural networks, covering three recent approaches.

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