Efficient galaxy classification through pretraining

Deep learning has increasingly been applied to supervised learning tasks in astronomy, such as classifying images of galaxies based on their apparent shape (i.e., galaxy morphology classification) to gain insight regarding the evolution of galaxies. In this work, we examine the effect of pretraining...

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Bibliographic Details
Main Authors: Jesse Schneider, David C. Stenning, Lloyd T. Elliott
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fspas.2023.1197358/full