DNNs succeed by capturing high-order correlation structures in datasets, similar to mesoscale methods in physics.
Modelling the influence of data structure on learning in neural networks: The hiddn manifold model
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DNNs, Dataset Statistics, and Correlation Functions
DNNs succeed by capturing high-order correlation structures in datasets, similar to mesoscale methods in physics.