could do is do grain descent with an explicit Gaussian prior the log likelihood of a Gaussian shown here and this is what was done by Reuters Warren at all in the implicit mammal paper we could also have a prior used in Bayesian linear regression in this case we can't input and post a prior on all weights of the neural network that would be intractable but we can impose it on the last layer of the neural network and do that on top of metal earned features this was done in an alpaca another type of mammal and we can also