Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning (2015)

First Author: Gal Yarin
Attributed to:  Deep Probabilistic Models for Making Sense of Unstructured Data funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.1506.02142

Publication URI: https://arxiv.org/abs/1506.02142

Type: Journal Article/Review

Parent Publication: arXiv e-prints