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A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning. (arXiv:2211.00147v1 [cs.LG])
Nov. 2, 2022, 1:11 a.m. | Randy J. Chase, David R. Harrison, Gary Lackmann, Amy McGovern
cs.LG updates on arXiv.org arxiv.org
Over the past decade the use of machine learning in meteorology has grown
rapidly. Specifically neural networks and deep learning have been being used at
an unprecedented rate. In order to fill the dearth of resources covering neural
networks with a meteorological lens, this paper discusses machine learning
methods in a plain language format that is targeted for the operational
meteorolgical community. This is the second paper in a pair that aim to serve
as a machine learning resource for …
arxiv deep learning machine machine learning meteorology networks neural networks part tutorial
More from arxiv.org / cs.LG updates on arXiv.org
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