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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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Detalles Bibliográficos
Autores principales:	Zorzi, Marco, Testolin, Alberto, Stoianov, Ivilin P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2013
Materias:	Psychology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747356/ https://www.ncbi.nlm.nih.gov/pubmed/23970869 http://dx.doi.org/10.3389/fpsyg.2013.00515

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