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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2013
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| Materias: | |
| 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 |