語系:
繁體中文
English
簡体中文
說明(常見問題)
圖書館個人資料蒐集告知聲明
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Guide to deep learning basics : logi...
~
Skansi, Sandro.
Guide to deep learning basics : logical, historical and philosophical perspectives
紀錄類型:
書目-語言資料,印刷品 : 單行本
副題名:
logical, historical and philosophical perspectives
其他作者:
SkansiSandro.,
出版地:
Cham
出版者:
Springer;
出版年:
c2020.
面頁冊數:
viii, 140 p.ill. : 24 cm.;
標題:
Machine learning. -
標題:
Artificial intelligence. -
標題:
Artificial intelligence. -
標題:
Machine learning. -
摘要註:
This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science. The text also highlights select topics from the fascinating history of this exciting field, including the pioneering work of Rudolf Carnap, Warren McCulloch, Walter Pitts, Bulcsú László, and Geoffrey Hinton. Topics and features: Provides a brief history of mathematical logic, and discusses the critical role of philosophy, psychology, and neuroscience in the history of AI ; Presents a philosophical case for the use of fuzzy logic approaches in AI ; Investigates the similarities and differences between the Word2vec word embedding algorithm, and the ideas of Wittgenstein and Firth on linguistics ; Examines how developments in machine learning provide insights into the philosophical challenge of justifying inductive inferences ; Debates, with reference to philosophical anthropology, whether an advanced general artificial intelligence might be considered as a living being ; Investigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems and developing strong AI ; Explores philosophical questions at the intersection of AI and transhumanism. This inspirational volume will rekindle a passion for deep learning in those already experienced in coding and studying this discipline, and provide a philosophical big-picture perspective for those new to the field. --Provided by publisher.
ISBN:
9783030375935
Guide to deep learning basics : logical, historical and philosophical perspectives
Guide to deep learning basics
: logical, historical and philosophical perspectives / Sandro Skansi, editor. - Cham : Springer, c2020.. - viii, 140 p. ; ill. ; 24 cm..
Includes bibliographical references and index..
ISBN 9783030375935ISBN 3030375900ISBN 3030375935ISBN 9783030375904
Machine learning.Artificial intelligence.Artificial intelligence.Machine learning.
Skansi, Sandro.
Guide to deep learning basics : logical, historical and philosophical perspectives
LDR
:02283cam a2200217 450
001
396473
010
1
$a
9783030375935
$b
pbk.
$d
NT2613
010
1
$a
3030375900
$b
hbk.
010
1
$a
3030375935
$b
pbk.
010
1
$a
9783030375904
$b
hbk.
100
$a
20211120d2020 y0engy50 b
101
0
$a
eng
102
$a
ch
105
$a
a a 001yy
200
1
$a
Guide to deep learning basics
$e
logical, historical and philosophical perspectives
$f
Sandro Skansi, editor.
210
$a
Cham
$c
Springer
$d
c2020.
215
1
$a
viii, 140 p.
$c
ill.
$d
24 cm.
320
$a
Includes bibliographical references and index.
330
$a
This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science. The text also highlights select topics from the fascinating history of this exciting field, including the pioneering work of Rudolf Carnap, Warren McCulloch, Walter Pitts, Bulcsú László, and Geoffrey Hinton. Topics and features: Provides a brief history of mathematical logic, and discusses the critical role of philosophy, psychology, and neuroscience in the history of AI ; Presents a philosophical case for the use of fuzzy logic approaches in AI ; Investigates the similarities and differences between the Word2vec word embedding algorithm, and the ideas of Wittgenstein and Firth on linguistics ; Examines how developments in machine learning provide insights into the philosophical challenge of justifying inductive inferences ; Debates, with reference to philosophical anthropology, whether an advanced general artificial intelligence might be considered as a living being ; Investigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems and developing strong AI ; Explores philosophical questions at the intersection of AI and transhumanism. This inspirational volume will rekindle a passion for deep learning in those already experienced in coding and studying this discipline, and provide a philosophical big-picture perspective for those new to the field. --Provided by publisher.
606
$a
Machine learning.
$2
lc
$3
32680
606
$a
Artificial intelligence.
$2
lc
$3
27475
606
$a
Artificial intelligence.
$2
fast
$3
389099
606
$a
Machine learning.
$2
fast
$3
389136
676
$a
006.3/1
$v
23
680
$a
Q325.5
702
1
$a
Skansi
$b
Sandro.
$3
389152
801
0
$a
cw
$b
CTU
$c
20211120
$g
AACR2
筆 0 讀者評論
館藏地:
全部
六樓西文書庫區
出版年:
卷號:
館藏
期刊年代月份卷期操作說明(Help)
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約人數
期刊出刊日期 / 原館藏地 / 其他備註
附件
405541
六樓西文書庫區
圖書流通(BOOK_CIR)
BOOK
006.31/G946
一般使用(Normal)
書架上
0
1 筆 • 頁數 1 •
1
評論
新增評論
分享你的心得
建立或儲存個人書籤
書目轉出
取書館別
處理中
...
變更密碼
登入