Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: The new bidirectional backpropagation algorithm helps blocking networks learn and recall large numbers of image patterns. Bidirectional backpropagation exploits backward-pass learning that ...