エッジAIハードウェアに向けたニューラルネットワークの新学習アルゴリズムとその低電力アーキテクチャに関する研究


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Please use this identifier to cite or link to this item:https://doi.org/10.14943/doctoral.k15538

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Title:	エッジAIハードウェアに向けたニューラルネットワークの新学習アルゴリズムとその低電力アーキテクチャに関する研究
Other Titles:	Novel Neural Network Training Algorithms and their Energy Efficient Architectures for Edge-AI Hardware
Authors:	金子, 竜也 Browse this author
Issue Date:	23-Mar-2023
Publisher:	Hokkaido University
Conffering University:	北海道大学
Degree Report Number:	甲第15538号
Degree Level:	博士
Degree Discipline:	工学
Examination Committee Members:	(主査) 教授池辺将之, 教授葛西誠也, 教授富田章久, 教授本久順一
Degree Affiliation:	情報科学院(情報科学専攻)
Type:	theses (doctoral)
URI:	http://hdl.handle.net/2115/89741
Appears in Collections:	課程博士 (Doctorate by way of Advanced Course) > 情報科学院(Graduate School of Information Science and Technology) 学位論文 (Theses) > 博士　（工学）

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