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1 Ergebnisse
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Neko: a Library for Exploring Neuromorphic Learning Rules:
, In:
International Conference on Neuromorphic Systems 2021
,
Zhao, Zixuan
;
Wycoff, Nathan
;
Getty, Neil
.. - p. 1-5 , 2021
Link:
https://dl.acm.org/doi/10.1145/3477145.3477155
RT T1 <cTitle>International Conference on Neuromorphic Systems 2021</cTitle>: T1 <Title>Neko: a Library for Exploring Neuromorphic Learning Rules</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3477155&Exemplar=1&LAN=DE A1 Zhao, Zixuan A1 Wycoff, Nathan A1 Getty, Neil A1 Stevens, Rick A1 Xia, Fangfang PB ACM YR 2021 K1 Bayesian inference K1 Manhattan rule K1 Neuromorphic computing K1 approximate gradients K1 learning rules K1 open-source library K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Computer systems organization K1 Architectures K1 Other architectures SP 1 OP 5 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477145.3477155 DO https://dl.acm.org/doi/10.1145/3477145.3477155 SF ELIB - SuUB Bremen
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