Toward Training a Deep Neural Network to Optimize Lens Designs

Geoffroi Côté; Geoffroi Côté; Jean-François Lalonde; Simon Thibault

doi:10.1364/FIO.2018.JW4A.28

Frontiers in Optics / Laser Science
OSA Technical Digest (Optica Publishing Group, 2018),
paper JW4A.28
•https://doi.org/10.1364/FIO.2018.JW4A.28

Toward Training a Deep Neural Network to Optimize Lens Designs

Geoffroi Côté, Jean-François Lalonde, and Simon Thibault

Laser Science 2018

Washington, DC United States
16–20 September 2018
ISBN: 978-1-943580-46-0

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Poster Session IV (JW4A)

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G. Côté, J. Lalonde, and S. Thibault, "Toward Training a Deep Neural Network to Optimize Lens Designs," in Frontiers in Optics / Laser Science, OSA Technical Digest (Optica Publishing Group, 2018), paper JW4A.28.

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Abstract

A deep neural network (DNN) is trained in an unsupervised manner, using RMS spot size, to output optimized lens designs from provided specifications.

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