A Variational Inequality Model for Learning Neural Networks

Neural networks have become ubiquitous tools for solving signal and image processing problems, and they often outperform standard approaches. Nevertheless, training the layers of a neural network is a challenging task in many applications. The prevalent training procedure consists of minimizing high...

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Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 1 - 5
Hauptverfasser:	Combettes, Patrick L., Pesquet, Jean-Christophe, Repetti, Audrey
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 04.06.2023
Schlagworte:	Block-iterative algorithm MRI Neural networks Numerical models Signal processing Signal processing algorithms Task analysis Training Transfer learning variational inequality
ISSN:	2379-190X
Online-Zugang:	Volltext
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