PublishersREGULARIZATION TOOLS FOR TRAININGFEED - FORWARD NEURAL NETWORKSPART II : Large

Abstract

We describe regularization tools for training large-scale artiicial feed-forward neural networks. In a companion paper (in this issue) we give the basic ideas and some theoretical results regarding the Gauss-Newton method compared to other methods such as the Levenberg-Marquardt method applied on small and medium size problems. We propose algorithms that… (More)

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@inproceedings{Eriksson1996PublishersREGULARIZATIONTF, title={PublishersREGULARIZATION TOOLS FOR TRAININGFEED - FORWARD NEURAL NETWORKSPART II : Large}, author={Johnny Eriksson and Mikael Gulliksson}, year={1996} }