Eigenvectors of Fisher Information Matrix for Simple ReLU Networks

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Summary, etc.：: In learning neural network parameters, it is important to examine the Fisher information matrix (FIM). We investigate the FIM of a one hidden layer ne...

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Material Type: 文書・図像類
Title: Eigenvectors of Fisher Information Matrix for Simple ReLU Networks
Author/Editor: 武石, 啓成
飯田, 昌澄
竹内, 純一
Author Heading: 武石, 啓成タケイシ, ヨシナリ
https://orcid.org/0000-0002-8727-7445
飯田, 昌澄イイダ, マサズミ
竹内, 純一タケウチ, ジュンイチ
Publication, Distribution, etc.: 電子情報通信学会
Publication Date: 2021-11
Publication Date (W3CDTF): 2021-11
Text Language Code: jpn
Target Audience: 一般
Date/Time and Place of an Event: 情報論的学習理論ワークショップ ; 24
Note (General): 発表番号：27
2-1 深層学習理論
Access Restrictions: インターネット公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 九州大学 : 九州大学学術情報リポジトリ