Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices
Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices
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Publisher
London: Springer London
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Language
English
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Publisher
London: Springer London
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In this paper, we propose a learning rule based on a back-propagation (BP) algorithm that can be applied to a hardware-based deep neural network using electronic devices that exhibit discrete and limited conductance characteristics. This adaptive learning rule, which enables forward, backward propagation, as well as weight updates in hardware, is h...
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Full title
Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices
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TN_cdi_proquest_journals_2307931753
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2307931753
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ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-018-3659-y
