Designing robust diffractive neural networks with improved transverse shift tolerance

A wide range of practically important problems is nowadays efficiently solved using artificial neural networks. This gave momentum to intensive development of their optical implementations, among which, the so-called diffractive neural networks (DNNs) constituted by a set of phase diffractive optica...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	Soshnikov, Daniil V, Doskolovich, Leonid L, Motz, Georgy A, Byzov, Egor V, Bezus, Evgeni A, Bykov, Dmitry A
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Diffractive optical elements Functionals Functions (mathematics) Handwriting Image classification Neural networks Optical components Robustness
Online-Zugang:	Volltext
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