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The Gap between Theory and Practice in Function Approximation with Deep Neural Networks

Research article (SIAM Journal on Mathematics of Data Science, 2021) · cited 122× · AI/ML
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The Gap between Theory and Practice in Function Approximation with Deep Neural Networks

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The Gap between Theory and Practice in Function Approximation with Deep Neural Networks is a scholarly article[1].

Key Facts

  • The Gap between Theory and Practice in Function Approximation with Deep Neural Networks's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). The Gap between Theory and Practice in Function Approximation with Deep Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-gap-between-theory-and-practice-in-function-approximation-with-deep-neural-networks
MLA “The Gap between Theory and Practice in Function Approximation with Deep Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-gap-between-theory-and-practice-in-function-approximation-with-deep-neural-networks.
BibTeX @misc{4ortxyz_the-gap-between-theory-and-practice-in-function-approximation-with-deep-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Gap between Theory and Practice in Function Approximation with Deep Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/the-gap-between-theory-and-practice-in-function-approximation-with-deep-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Gap between Theory and Practice in Function Approximation with Deep Neural Networks — https://4ort.xyz/entity/the-gap-between-theory-and-practice-in-function-approximation-with-deep-neural-networks (retrieved 2026-05-24)

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