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:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00515/full