Probabilistic inference of Bayesian neural networks with generalized expectation propagation

Neurocomputing, pp. 392-398, 2020.

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Abstract:

Deep learning plays an important role in the field of machine learning. However, deterministic methods such as neural networks cannot capture the model uncertainty. Bayesian neural network (BNN) are recently under consideration since Bayesian models provide a theoretical framework to infer model uncertainty. Since it is often difficult to...More

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