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Training LSTM Networks With Resistive Cross-Point Devices
In our previous work we have shown that resistive cross point devices, so called resistive processing unit (RPU) devices, can provide significant power and speed benefits when training deep fully connected networks as well as convolutional neural networks. In this work, we further extend the RPU con...
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| Publicado no: | Front Neurosci |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6207602/ https://ncbi.nlm.nih.gov/pubmed/30405334 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00745 |
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