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Practical Variational Inference for Neural Networks
Alex Graves
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Oznake: computer science;machine learning;neural networks;bayesian learning
Variational methods have been previously explored as a tractable approximation to Bayesian inference for neural networks. However the approaches proposed so far have only been applicable to a few simple network architectures. This paper introduces an easy-to-implement stochastic variational method ( ...
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 1
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