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

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Umfang36 Seiten

Online
DOI: 10.48550/ARXIV.1910.05505


Einrichtungen

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


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Dokumenttyp
Preprint

Format
online

Sprache
English

Externe Identnummern
arXiv: arXiv:1910.05505

Interne Identnummern
RWTH-2020-06321
Datensatz-ID: 792699

Beteiligte Länder
Germany, South Africa

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Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;
Learning deep linear neural networks : Riemannian gradient flows and convergence to global minimizers
Information and Inference iaaa039 () [10.1093/imaiai/iaaa039]  GO BibTeX | EndNote: XML, Text | RIS

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Faculty of Mathematics and Natural Sciences (Fac.1) > Department of Mathematics
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111810
 Record created 2020-06-17, last modified 2025-10-22
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