Jump to main content

博士論文

USING COMPUTING FIRST PRINCIPLES TO IMPROVE THE SYMBIOTIC PERFORMANCE IN ALGORITHMS AND PROCESSORS USED IN LOW-POWERED MACHINE LEARNING

Icons representing 博士論文
The cover of this title could differ from library to library.

Available in National Diet Library

Find on the publisher's website

NDL Digital Collections

Digital data available

Check on the publisher's website

USING COMPUTING FIRST PRINCIPLES TO IMPROVE THE SYMBIOTIC PERFORMANCE IN ALGORITHMS AND PROCESSORS USED IN LOW-POWERED MACHINE LEARNING

Persistent ID (NDL)
info:ndljp/pid/12361091
Material type
博士論文
Author
ンシンガ, ロバート
Publisher
-
Date granted
2022-09-20
Material Format
Digital
Capacity, size, etc.
-
Degree grantor and degree
徳島大学,博士（工学）
View All

Notes on use at the National Diet Library

本資料は、掲載誌(URI)等のリンク先にある学位授与機関のWebサイトやCiNii ResearchLeave the NDL website. から、本文を自由に閲覧できる場合があります。

Notes on use

Note (General)：

出版タイプ： NA

Detailed bibliographic record

Summary, etc.：

Using less electric power or speeding up processing is catching the interests of researchers in deep learning. Models have grown in complexity and siz...

Search by Bookstore

Search by Bookstore

Read this material in an accessible format.

View materials in accessible formats for people with print disabilities (1Type)

Search by Bookstore

Read in Disability Resources

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type
博士論文
Title
USING COMPUTING FIRST PRINCIPLES TO IMPROVE THE SYMBIOTIC PERFORMANCE IN ALGORITHMS AND PROCESSORS USED IN LOW-POWERED MACHINE LEARNING
Author/Editor
ンシンガ, ロバート
Author Heading
ンシンガ, ロバート
Publication Date
2022-09-20
Publication Date (W3CDTF)
2022-09-20
Alternative Title
コンピューティングの第一原理を使用して、低電力の機械学習で使用されるアルゴリズムとプロセッサの共生パフォーマンスを向上させる
Degree Grantor
徳島大学
Date Granted
2022-09-20
Date Granted (W3CDTF)
2022-09-20