Neural Network Training With Asymmetric Crosspoint Elements

Neural Network Training With Asymmetric Crosspoint Elements

<jats:p>Analog crossbar arrays comprising programmable non-volatile resistors are under intense investigation for acceleration of deep neural network training. However, the ubiquitous asymmetric conductance modulation of practical resistive devices critically degrades the classification perfor...

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Bibliographic Details
Main Authors: Onen, Murat, Gokmen, Tayfun, Todorov, Teodor K, Nowicki, Tomasz, del Alamo, Jesús A, Rozen, John, Haensch, Wilfried, Kim, Seyoung
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Frontiers Media SA 2022
Online Access:https://hdl.handle.net/1721.1/143120

Internet

https://hdl.handle.net/1721.1/143120

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