Looking at the posterior: accuracy and uncertainty of neural-network predictions

H. Linander, O. Balabanov, H. Yang +1

Bayesian inference can quantify uncertainty in the predictions of neural networks using posterior distributions for model parameters and network output. By looking at these posteri…