Deep Learning: A Bayesian Perspective by Dr. Vadim Sokolov

“Abstract: Deep Learning is a form of machine learning for nonlinear high dimensional pattern matching and prediction. By taking a Bayesian probabilistic perspective, we provide a number of insights into more efficient algorithms for optimisation and hyper-parameter tuning.“ Polson, Nicholas G., and Vadim Sokolov. “Deep Learning: A Bayesian Perspective.” Bayesian Analysis 12.4 (2017): 1275–1304. Crossref. Web.