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Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy. (arXiv:2211.03796v1 [astro-ph.IM])
Nov. 9, 2022, 2:11 a.m. | Michael J. Smith (Hertfordshire), James E. Geach (Hertfordshire)
cs.LG updates on arXiv.org arxiv.org
In recent years, deep learning has infiltrated every field it has touched,
reducing the need for specialist knowledge and automating the process of
knowledge discovery from data. This review argues that astronomy is no
different, and that we are currently in the midst of a deep learning revolution
that is transforming the way we do astronomy. We trace the history of
astronomical connectionism from the early days of multilayer perceptrons,
through the second wave of convolutional and recurrent neural networks, …
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