"The necessity of depth for artificial neural networks to approximate ..."

Lukas Gonon, Robin Graeber, Arnulf Jentzen (2023)

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DOI: 10.48550/ARXIV.2301.08284

access: open

type: Informal or Other Publication

metadata version: 2023-01-26

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  - https://dblp.org/rec/journals/corr/abs-2301-08284
Lukas Gonon, Robin Graeber, Arnulf Jentzen:
The necessity of depth for artificial neural networks to approximate certain classes of smooth and bounded functions without the curse of dimensionality. CoRR abs/2301.08284 (2023)

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