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Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes

Research article (2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2019) · cited 43× · AI/ML
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Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes

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Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes is a scholarly article[1].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes. Retrieved May 24, 2026, from https://4ort.xyz/entity/gradient-descent-finds-global-minima-for-generalizable-deep-neural-networks-of-practical-sizes
MLA “Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gradient-descent-finds-global-minima-for-generalizable-deep-neural-networks-of-practical-sizes.
BibTeX @misc{4ortxyz_gradient-descent-finds-global-minima-for-generalizable-deep-neural-networks-of-practical-sizes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes}}, year = {2026}, url = {https://4ort.xyz/entity/gradient-descent-finds-global-minima-for-generalizable-deep-neural-networks-of-practical-sizes}, note = {Accessed: 2026-05-24}}
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