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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...
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| 發表在: | Front Neurosci |
|---|---|
| Main Authors: | , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Frontiers Media S.A.
2015
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4496577/ https://ncbi.nlm.nih.gov/pubmed/26217169 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2015.00222 |
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