論文

査読有り 筆頭著者 責任著者
2020年

A global universality of two-layer neural networks with ReLU activations.

CoRR
  • Naoya Hatano
  • ,
  • Masahiro Ikeda
  • ,
  • Isao Ishikawa
  • ,
  • Yoshihiro Sawano

abs/2011.10225
開始ページ
1
終了ページ
3
記述言語
掲載種別
研究論文(学術雑誌)
DOI
10.1155/2021/6637220
出版者・発行元
Hindawi Limited

In the present study, we investigate a universality of neural networks, which concerns a density of the set of two-layer neural networks in function spaces. There are many works that handle the convergence over compact sets. In the present paper, we consider a global convergence by introducing a norm suitably, so that our results will be uniform over any compact set.

リンク情報
DOI
https://doi.org/10.1155/2021/6637220
DBLP
https://dblp.uni-trier.de/rec/journals/corr/abs-2011-10225
共同研究・競争的資金等の研究課題
関数空間による数学解析の深化と発展
URL
https://arxiv.org/abs/2011.10225
URL
https://dblp.uni-trier.de/db/journals/corr/corr2011.html#abs-2011-10225
ID情報
  • DOI : 10.1155/2021/6637220
  • ISSN : 2314-8896
  • eISSN : 2314-8888
  • DBLP ID : journals/corr/abs-2011-10225
  • ORCIDのPut Code : 100126905

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