Inference with Hybrid Bio-hardware Neural Networks

To understand the learning process in brains, biologically plausible algorithms have been explored by modeling the detailed neuron properties and dynamics. On the other hand, simplified multi-layer models of neural networks have shown great success on computational tasks such as image classification...

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Veröffentlicht in:	arXiv.org 2019-09
Hauptverfasser:	Zeng, Yuan, Zubayer Ibne Ferdous, Zhang, Weixiang, Xu, Mufan, Yu, Anlan, Patel, Drew, Guo, Xiaochen, Berdichevsky, Yevgeny, Yan, Zhiyuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Computation Handwriting Handwriting recognition Hardware Image classification Inference Machine learning Mathematical models Model accuracy Multilayers Neural networks Object recognition Parameters Sparsity Speech recognition Synapses
Online-Zugang:	Volltext
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