Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives - Rilegato

Skansi

Rilegato

ISBN 10: 3030375900 ISBN 13: 9783030375904

Casa editrice: Springer, 2020

Riassunto

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.

Su questo libro

Informazioni sull?autore

Dr. Sandro Skansi is an Assistant Professor of Logic at the University of Zagreb, Croatia.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030375900
• ISBN 13: 9783030375904
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 148
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania