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This paper relates two totally different fields, namely multigrid methods for solving partial differential equations and convolutional neural networks for image classification by a unified algorithm known as MgNet. In particular, it shows that an effective and new class of convolutional neural network models can be directly obtained by making some minor modification of a geometric multigrid method.
(44 Google Scholar citations as of November 6th, 2021)