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In this video we discuss Markov-Chain-Monte-Carlo (MCMC), a general set of methods that allow us to draw samples from intractable distributions, such as the posterior distribution of weights in a Bayesian Neural Network.
You can find the next video of the series here: • 11.05 Prior Fitted Net...