MARC 닫기
00000cam c2200205 i 4500
000001168104
20231107160246
ta
221222s2022 enka b 001 0 eng
▼a 2021060635
▼a 9781316519332
▼q (hardback) :
▼c $79.98
▼z 9781009023405
▼q (epub)
▼a (KERIS)BIB000016285791
▼a DLC
▼b eng
▼c DLC
▼d 241026
▼d 211047
▼e rda
▼a pcc
▼a Q325.73
▼b .R63 2022
▼a 006.3/1
▼2 23
▼a 006.31
▼b R54p
▼a Roberts, Daniel A.,
▼d 1987-,
▼e author
▼a The Principles of deep learning theory :
▼b an effective theory approach to understanding neural networks /
▼d Daniel A. Roberts and Sho Yaida based on research in collaboration with Boris Hanin.
▼a Cambridge, UK ;
▼a New York, NY :
▼b Cambridge University Press,
▼c 2022.
▼a x, 460 pages :
▼b illustrations ;
▼c 27 cm.
▼a Includes bibliographical references (pages 439-443) and index.
▼a Deep learning (Machine learning)
▼a Yaida, Sho,
▼e author.
▼a Hanin, Boris,
▼e author.
▼b 학술정보지원
| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9781316519332 |
| ISBN : | |
| 분류기호 : | 006.31 |
| 개인저자 : | Roberts, Daniel A., 1987-, author |
| 서명/저자사항 : | The Principles of deep learning theory : an effective theory approach to understanding neural networks / Daniel A. Roberts and Sho Yaida based on research in collaboration with Boris Hanin. |
| 발행사항 : | Cambridge, UK ; New York, NY : Cambridge University Press, 2022. |
| 형태사항 : | x, 460 pages : illustrations ; 27 cm. |
| 서지주기 : | Includes bibliographical references (pages 439-443) and index. |
| 일반주제명 : | Deep learning (Machine learning) -- |
| 개인저자 : | Yaida, Sho, author. |
| 개인저자 : | Hanin, Boris, author. |
| 언어 | 영어 |
차별하는 데이터 : 상관관계, 이웃, 새로운 인식의 정치
005.7 전67ㅊ
AI 로봇과 안전
006.3 송94ㅇ
하루 5분 A.I 챌린지 : 너무 쉬운 A.I 따라하기
006.3 이79ㅎ
서평쓰기