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Impact of Asymmetric Weight Update on Neural Network Training With Tiki-Taka Algorithm
Recent progress in novel non-volatile memory-based synaptic device technologies and their feasibility for matrix-vector multiplication (MVM) has ignited active research on implementing analog neural network training accelerators with resistive crosspoint arrays. While significant performance boost a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770851/ https://www.ncbi.nlm.nih.gov/pubmed/35069098 http://dx.doi.org/10.3389/fnins.2021.767953 |