A Theoretically Grounded Application of Dropout in Recurrent Neural Networks (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.1512.05287

Publication URI: https://arxiv.org/abs/1512.05287

Type: Journal Article/Review

Parent Publication: arXiv e-prints