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Convergence to good non-optimal critical points in the training of neural networks: Gradient descent optimization with one random initialization overcomes all bad non-global local minima with high probability
Ibragimov, S.; Jentzen, A.; Riekert, A.
Research article in digital collection
| Preprint
Details about the publication
Name of the repository:
arXiv.org
Article number:
2212.13111
Status:
submitted / under review
Release year:
2022
Link to the full text:
https://arxiv.org/abs/2212.13111
Authors from the University of Münster
Ibragimov
,
Shokhrukh
Professorship for applied mathematics (Prof. Jentzen)
Jentzen
,
Arnulf
Institute for Analysis and Numerics
Riekert
,
Adrian
Mathematical Institute