Guide to Deep Learning Basics : Logical, Historical and Philosophical Perspectives (Record no. 30615)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220107b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030375935
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number SKA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Skansi, Sandro ed.
245 ## - TITLE STATEMENT
Title Guide to Deep Learning Basics : Logical, Historical and Philosophical Perspectives
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2020
Place of publication, distribution, etc Cham :
300 ## - PHYSICAL DESCRIPTION
Extent viii, 140 p. ;
Other physical details ill.,
Dimensions 24 cm
365 ## - TRADE PRICE
Price amount 79.99
Price type code EUR
Unit of pricing 88.70
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc 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. Dr. Sandro Skansi is an Assistant Professor of Logic at the University of Zagreb, Croatia.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
Topical term or geographic name as entry element Computational intelligence
Topical term or geographic name as entry element Artificial intelligence
Topical term or geographic name as entry element Computers
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2022-01-05 7095.11 006.31 SKA 032770 2022-01-07 Books

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