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Learning deep linear neural networks : Riemannian gradient flows and convergence to global minimizers

; ; ;

In
Information and Inference Seiten/Artikel-Nr.:iaaa039

ImpressumOxford : Oxford Univ. Press

ISSN2049-8772

Online
DOI: 10.1093/imaiai/iaaa039


Einrichtungen

  1. Lehrstuhl für Mathematik C (Analysis) (114510)
  2. Fachgruppe Mathematik (110000)
  3. Lehrstuhl für Mathematik (Analysis) (111810)
  4. Lehrstuhl für Mathematik der Informationsverarbeitung (114510)


Thematische Einordnung (Klassifikation)
DDC: 510


Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
WOS Core Collection: WOS:000755586000001
SCOPUS: SCOPUS:2-s2.0-85128198246

Interne Identnummern
RWTH-2021-04478
Datensatz-ID: 818506

Beteiligte Länder
Germany, South Africa

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers
36 Seiten () [10.48550/ARXIV.1910.05505]  GO OpenAccess   Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Mathematics
114510_20140620
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114510
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111810
 Record created 2021-05-05, last modified 2022-07-29
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