Quantifying Power in Silicon Photonic Neural Networks
Author:
Funder
National Resource Council
Publisher
American Physical Society (APS)
Subject
General Physics and Astronomy
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevApplied.17.054029/fulltext
Reference61 articles.
1. RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars
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