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Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations
In recent years, deep neural networks (DNN) have demonstrated significant business impact in large scale analysis and classification tasks such as speech recognition, visual object detection, pattern extraction, etc. Training of large DNNs, however, is universally considered as time consuming and co...
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| Publié dans: | Front Neurosci |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4954855/ https://ncbi.nlm.nih.gov/pubmed/27493624 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2016.00333 |
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