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博士論文

Field Programmable Gate Arrayでの実装に適した混合精度重みモデルに基づくニューラルネットワーク

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Field Programmable Gate Arrayでの実装に適した混合精度重みモデルに基づくニューラルネットワーク

Persistent ID (NDL)
info:ndljp/pid/11976821
Material type
博士論文
Author
Ninnart, Fuengfusin
Publisher
-
Publication date
2021-09-24
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
九州工業大学,博士(工学)
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Notes on use

Note (General):

九州工業大学博士学位論文 学位記番号:生工博甲第419号 学位授与年月日:令和3年9月24日令和3年度

Detailed bibliographic record

Summary, etc.:

In this study, I introduced a mixed-precision weights network (MPWN), which is a quantization neural network that jointly utilizes three different wei...

Table of Contents

Provided by:国立国会図書館デジタルコレクションLink to Help Page
  • 2023-08-05 再収集

  • 2023-10-11 再収集

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Bibliographic Record

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Digital

Material Type
博士論文
Author/Editor
Ninnart, Fuengfusin
Author Heading
Publication Date
2021-09-24
Publication Date (W3CDTF)
2021-09-24
Alternative Title
Mixed-precision weights network for field-programmable gate array
Contributor
田向, 権
Degree grantor/type
九州工業大学
Date Granted
2021-09-24