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Unsupervised learning by competing hidden units
It is widely believed that end-to-end training with the backpropagation algorithm is essential for learning good feature detectors in early layers of artificial neural networks, so that these detectors are useful for the task performed by the higher layers of that neural network. At the same time, t...
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| Publicat a: | Proc Natl Acad Sci U S A |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
National Academy of Sciences
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6475390/ https://ncbi.nlm.nih.gov/pubmed/30926658 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1820458116 |
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