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Fine-Tuning and the Stability of Recurrent Neural Networks
A central criticism of standard theoretical approaches to constructing stable, recurrent model networks is that the synaptic connection weights need to be finely-tuned. This criticism is severe because proposed rules for learning these weights have been shown to have various limitations to their bio...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3181247/ https://ncbi.nlm.nih.gov/pubmed/21980334 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0022885 |
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