From: https://medium.com/neuralspace/bayesian-convolutional-neural-networks-with-bayes-by-backprop-c84dcaaf086e So far, we have elaborated how Bayes by Backprop works on a simple feedforward neural network. In this post, I will explain how you can apply exactly this framework to any convolutional neural network (CNN) architecture you like. You might have seen Gal’s & Ghahramani’s (2015) publication of a Bayesian CNN, but that’s an entirely different approach … Continue reading Bayesian Convolutional Neural Networks with Bayes by Backprop →