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Neural Network Training Acceleration With RRAM-Based Hybrid Synapses
Hardware neural network (HNN) based on analog synapse array excels in accelerating parallel computations. To implement an energy-efficient HNN with high accuracy, high-precision synaptic devices and fully-parallel array operations are essential. However, existing resistive memory (RRAM) devices can...
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| Publicado no: | Front Neurosci |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8264206/ https://ncbi.nlm.nih.gov/pubmed/34248492 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2021.690418 |
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