東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Learning by Watching and Learning by...

Gordon, Daniel.

FindBook

Google Book

Amazon

博客來

Learning by Watching and Learning by Doing.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Learning by Watching and Learning by Doing./
作者:	Gordon, Daniel.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	199 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
Contained By:	Dissertations Abstracts International82-02B.
標題:	Computer science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27997699
ISBN:	9798664707137

Learning by Watching and Learning by Doing.
Gordon, Daniel.

Learning by Watching and Learning by Doing. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 199 p.

Source: Dissertations Abstracts International, Volume: 82-02, Section: B.

Thesis (Ph.D.)--University of Washington, 2020.

This item must not be sold to any third party vendors.

When we are babies, we learn how to see by watching how the world changes and by interacting with it. Can we use these same signals to train vision models? In this thesis, we outline several works which use these paradigms as a basis for learning algorithms. First, we explore learning by watching in which video data is directly used to learn about the visual world. Second, we tackle multiple challenging tasks in embodied environments in which agents learn by interacting with their surroundings.

ISBN: 9798664707137Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Computer vision

Learning by Watching and Learning by Doing.
LDR:01550nmm a2200337 4500 001 2281707
005 20210920103347.5
008 220723s2020 ||||||||||||||||| ||eng d
020 $a 9798664707137
035 $a (MiAaPQ)AAI27997699
035 $a AAI27997699
040 $a MiAaPQ $c MiAaPQ
100 1 $a Gordon, Daniel. $3 3560416
245 1 0 $a Learning by Watching and Learning by Doing.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 199 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-02, Section: B.
500 $a Advisor: Farhadi, Ali;Fox, Dieter.
502 $a Thesis (Ph.D.)--University of Washington, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a When we are babies, we learn how to see by watching how the world changes and by interacting with it. Can we use these same signals to train vision models? In this thesis, we outline several works which use these paradigms as a basis for learning algorithms. First, we explore learning by watching in which video data is directly used to learn about the visual world. Second, we tackle multiple challenging tasks in embodied environments in which agents learn by interacting with their surroundings.
590 $a School code: 0250.
650 4 $a Computer science. $3 523869
650 4 $a Robotics. $3 519753
653 $a Computer vision
653 $a Deep learning
653 $a Machine learning
690 $a 0984
690 $a 0771
710 2 $a University of Washington. $b Computer Science and Engineering. $3 2097608
773 0 $t Dissertations Abstracts International $g 82-02B.
790 $a 0250
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27997699