Variational Inference to Measure Model Uncertainty in Deep Neural Networks

Konstantin Posch, Jan Steinbrener, Jürgen Pilz

We present a novel approach for training deep neural networks in a Bayesian way. Classical, i.e. non-Bayesian, deep learning has two major drawbacks both originating from the fact…