Universality of Gradient Descent Neural Network Training
This entry provides metadata for an academic paper titled 'Universality of Gradient Descent Neural Network Training' by Gerrit Welper. It includes links to the full text, citation tools, and related research within the field of machine learning.
Why it matters
It serves as a reference point for researchers studying the mathematical foundations and convergence properties of neural network training algorithms.
Focus to learn more arXiv-issued DOI via DataCite Submission history From: Gerrit Welper [ view email ] [v1] Mon, 27 Jul 2020 16:17:19 UTC (31 KB) Full-text links: Access Paper: View a PDF of the paper titled Universality of Gradient Descent Neural Network Training, by G. Welper View PDF HTML (experimental) TeX Source view license Current browse context: cs.LG < prev | next > new | recent | 2020-07 Change to browse by: cs stat stat.ML References & Citations NASA ADS Google Scholar Semantic Scholar DBLP - CS Bibliography listing | bibtex export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps?
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