Gradient Descent Provably Escapes Saddle Points in the Training of Shallow ReLU Networks
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Gradient Descent Provably Escapes Saddle Points in the Training of Shallow ReLU Networks ; day:10 ; month:9 ; year:2024 ; pages:1-32
Journal of optimization theory and applications ; (10.9.2024), 1-32
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s10957-024-02513-3
- URN
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urn:nbn:de:101:1-2411242108572.454330767940
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:34 MESZ
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Beteiligte
- Cheridito, Patrick
- Jentzen, Arnulf
- Rossmannek, Florian
- SpringerLink (Online service)
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