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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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1 - 5
Hlavní autori:	Combettes, Patrick L., Pesquet, Jean-Christophe, Repetti, Audrey
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 04.06.2023
Predmet:	Block-iterative algorithm MRI Neural networks Numerical models Signal processing Signal processing algorithms Task analysis Training Transfer learning variational inequality
ISSN:	2379-190X
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