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