Hi !
I am searching dor an approach to implement Bayesian Deep learning, i found two methode either by bayes by backprop or by dropout, I’ve read that Optimising any neural network with dropout is equivalent to a form of approximate Bayesian inference and a network trained with dropout already is a Bayesian neural network,
Could you please confirm these statements if you have any idea ?
Thank youu for your time,