Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
Memristor-based neural networks hold promise for neuromorphic computing, yet large-scale experimental execution remains difficult. Here, Xia et al. create a multi-layer memristor neural network with in-situ machine learning and achieve competitive image classification accuracy on a standard dataset.
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Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
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Materias: | |
Acceso en línea: | https://doaj.org/article/b4e8c66198ed41eea8aa429291ec599c |
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