The applications of deep neural networks to sdBV classification

The applications of deep neural networks to sdBV classification

With several new large-scale surveys on the horizon, including LSST, TESS, ZTF, and Evryscope, faster and more accurate analysis methods will be required to adequately process the enormous amount of data produced. Deep learning, used in industry for years now, allows for advanced feature detection i...

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Bibliographic Details
Main Author:	Boudreaux Thomas M.
Format:	Article
Language:	English
Published:	De Gruyter 2017-12-01
Series:	Open Astronomy
Subjects:	deep learning sdbv
Online Access:	https://doi.org/10.1515/astro-D-17-0450

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