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Topological Structure is Predictive of Deep Neural Network Success in Learning

Christopher Griffin,Trevor K. Karn,Benjamin Apple

2023 · DOI: 10.48550/arXiv.2301.09734
arXiv.org · 2 Citations

TLDR

It is shown that fully interpretable topological classifiers are able to perform nearly as well as their DNN counterparts, and the simplicity in their topological structure explains the majority of the DNN’s ability to operate on these data sets.