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 hyperparameter Polson, Nicholas G. , and Vadim Sokolov. Deep Learning: A Bayesian Perspective. Bayesian Analysis 12. 4 (2017): 12751304. Crossref. Web.
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