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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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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3747356/ https://ncbi.nlm.nih.gov/pubmed/23970869 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2013.00515 |
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