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Learning to represent visual input
One of the central problems in computational neuroscience is to understand how the object-recognition pathway of the cortex learns a deep hierarchy of nonlinear feature detectors. Recent progress in machine learning shows that it is possible to learn deep hierarchies without requiring any labelled d...
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| Formato: | Texto |
| Lenguaje: | English |
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The Royal Society
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2842706/ https://www.ncbi.nlm.nih.gov/pubmed/20008395 http://dx.doi.org/10.1098/rstb.2009.0200 |