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Monte Carlo estimation

Course video 38 of 65

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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課程、專項課程和在線學位均由全世界一流大學和教育機構的頂尖授課教師教授。

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