Bayesian by learning approaches you can look at the papers shown here and next we can go to a couple questions before moving on to applications so one question is if we want to do a Bayesian metal learning approach can we just use drop out at a test time right so if you just do drop out at test time you will certainly get a distribution there's no guarantee if you don't train for that distribution to actually represent the posterior then you won't actually get the correct posterior over functions for probabilistic mammal