Deep Unsupervised Learning on a Desktop PC: A Primer for Cognitive Scientists

Deep belief networks hold great promise for the simulation of human cognition because they show how structured and abstract representations may emerge from probabilistic unsupervised learning. These networks build a hierarchy of progressively more complex distributed representations of the sensory d...

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Detalles Bibliográficos
Autores principales: Testolin, Alberto, Stoianov, Ivilin, De Filippo De Grazia, Michele, Zorzi, Marco
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/PMC3644707/
https://www.ncbi.nlm.nih.gov/pubmed/23653617
http://dx.doi.org/10.3389/fpsyg.2013.00251

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3644707/
https://www.ncbi.nlm.nih.gov/pubmed/23653617
http://dx.doi.org/10.3389/fpsyg.2013.00251

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