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Gibbs sampling

This week we will learn how to approximate training and inference with sampling and how to sample from complicated distributions. This will allow us to build simple method to deal with LDA and with Bayesian Neural Networks — Neural Networks which weights are random variables themselves and instead of training (finding the best value for the weights) we will sample from the posterior distributions on weights.

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课程、专项课程和在线学位均由全世界一流大学和教育机构的顶尖授课教师教授。

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