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Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms
Increasingly large deep learning architectures, such as Deep Belief Networks (DBNs) are the focus of current machine learning research and achieve state-of-the-art results in different domains. However, both training and execution of large-scale Deep Networks require vast computing resources, leadin...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4496577/ https://www.ncbi.nlm.nih.gov/pubmed/26217169 http://dx.doi.org/10.3389/fnins.2015.00222 |