Effect of batch learning in multilayer neural networks

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Effect of batch learning in multilayer neural networks (1998)

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by Kenji Fukumizu

Venue:	In Proceedings of ICONIP'98
Citations:	4 - 1 self

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@INPROCEEDINGS{Fukumizu98effectof,
    author = {Kenji Fukumizu},
    title = {Effect of batch learning in multilayer neural networks},
    booktitle = {In Proceedings of ICONIP'98},
    year = {1998}
}

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Abstract

We discuss the dynamics of batch learning of multilayer neural networks in the asymptotic limit, where the number of trining data is much larger than the number of parameters, emphasizing on the parameterization redundancy in overrealizable cases. In addition to showing experimental results on overtraining in multilayer perceptrons and three-layer linear neural networks, we theoretically prove the existence of overtraining in overrealizable cases of the latter model. 1

Keyphrases

batch learning multilayer neural network overrealizable case asymptotic limit multilayer perceptrons latter model parameterization redundancy experimental result three-layer linear neural network

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