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博士論文

A Study of Inner Representations in Deep Neural Networks for Comprehending Network Behaviors Using Persistent Homology

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A Study of Inner Representations in Deep Neural Networks for Comprehending Network Behaviors Using Persistent Homology

Persistent ID (NDL)
info:ndljp/pid/12651540
Material type
博士論文
Author
渡辺, 聡ほか
Publisher
-
Publication date
2022
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
早稲田大学,博士(工学)
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Notes on use

Note (General)：

早大学位記番号:新9146

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Digital

Material Type
博士論文
Title
A Study of Inner Representations in Deep Neural Networks for Comprehending Network Behaviors Using Persistent Homology
Author/Editor
渡辺, 聡
Watanabe, Satoru
Author Heading
渡辺, 聡
Watanabe, Satoru
Publication Date
2022
Publication Date (W3CDTF)
2022
Alternative Title
ディープニューラルネットワークの挙動解析を目的としたパーシステントホモロジーを用いたネットワーク内部構造の研究
Degree grantor/type
早稲田大学
Date Granted
2022-09-15
Date Granted (W3CDTF)
2022-09-15