A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions

Jentzen, Arnulf; Riekert, Adrian

Research article (journal) | Peer reviewed

Details about the publication

JournalZeitschrift für Angewandte Mathematik und Physik
Volume73
Issue5
Article number188
StatusPublished
Release year2022
Language in which the publication is writtenEnglish
DOI10.1007/s00033-022-01716-w
Link to the full texthttps://link.springer.com/article/10.1007/s00033-022-01716-w
KeywordsArtificial intelligence; Neural networks; Stochastic gradient descent; Non-convex optimization

Authors from the University of Münster

Jentzen, Arnulf
Institute for Analysis and Numerics
Riekert, Adrian
Mathematical Institute