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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Detalles Bibliográficos
Autores principales: Choi, Wooseok, Kwak, Myonghoon, Kim, Seyoung, Hwang, Hyunsang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264206/
https://www.ncbi.nlm.nih.gov/pubmed/34248492
http://dx.doi.org/10.3389/fnins.2021.690418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264206/
https://www.ncbi.nlm.nih.gov/pubmed/34248492
http://dx.doi.org/10.3389/fnins.2021.690418

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