Guide to Deep Learning Basics [electronic resource] : Logical, Historical and Philosophical Perspectives / edited by Sandro Skansi.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Guide to Deep Learning Basics [electronic resource] : Logical, Historical and Philosophical Perspectives / edited by Sandro Skansi.

First edition 2020.

9783030375911
3030375919
9783030375911
9783030375904 (print)
3030375900
9783030375928 (print)
3030375927
9783030375935 (print)
3030375935

Cham : Springer International Publishing : Imprint: Springer, 2020.

English

1 online resource (VIII, 140 pages 12 illustrations, 4 illustrations in color. :) : online resource.

10.1007/978-3-030-37591-1 doi

Q325.5-.7

006.31

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.

Access limited to authorized users.

text file PDF

Print version: 9783030375904
Print version: 9783030375928
Print version: 9783030375935

Online Resources > Ebooks
All Resources