Modeling Language and Cognition with Deep Unsupervised Learning:A Tutorial Overview

Modeling Language and Cognition with Deep Unsupervised Learning:A Tutorial Overview

Deep unsupervised learning in stochastic recurrent neural networks with many layers of hidden units is a recent breakthrough in neural computation research. These networks build a hierarchy of progressively more complex distributed representations of the sensory data by fitting a hierarchical genera...

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Bibliographic Details
Main Authors:	Marco eZorzi, Alberto eTestolin, Ivilin Peev Stoianov
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2013-08-01
Series:	Frontiers in Psychology
Subjects:	visual word recognition neural networks Connectionist Modeling unsupervised learning deep learning hierarchical generative models
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00515/full

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