Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Sandro Skansi is an Assistant Professor of Logic at the University of Zagreb, Croatia.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Guide to Deep Learning Basics (eng)
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Guide to Deep Learning Basics
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Springer International Publishing Jan 2020, 2020
ISBN 10 : 3030375900
ISBN 13 : 9783030375904
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 AIPresents a philosophical case for the use of fuzzy logic approaches in AIInvestigates the similarities and differences between the Word2vec word embedding algorithm, and the ideas of Wittgenstein and Firth on linguisticsExamines how developments in machine learning provide insights into the philosophical challenge of justifying inductive inferencesDebates, with reference to philosophical anthropology, whether an advanced general artificial intelligence might be considered as a living beingInvestigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems and developing strong AIExplores philosophical questions at the intersection of AI and transhumanismThis 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. 148 pp. Englisch. N° de réf. du vendeur 9783030375904
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Guide to Deep Learning Basics
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ISBN 10 : 3030375900
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents unique perspectives on ideas in deep learning and artificial intelligence, and their historical and philosophical rootsOffers an introduction to cognitive aspects of deep learning, including those which are not tackled by existing deep le. N° de réf. du vendeur 448680697
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Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives
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Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives
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Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives
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Guide to Deep Learning Basics | Logical, Historical and Philosophical Perspectives
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Buch. Etat : Neu. Guide to Deep Learning Basics | Logical, Historical and Philosophical Perspectives | Sandro Skansi | Buch | viii | Englisch | 2020 | Springer | EAN 9783030375904 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 117797636
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Guide to Deep Learning Basics
Edité par
Springer, Birkhäuser Jan 2020, 2020
ISBN 10 : 3030375900
ISBN 13 : 9783030375904
Neuf
Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 AIPresents a philosophical case for the use of fuzzy logic approaches in AIInvestigates the similarities and differences between the Word2vec word embedding algorithm, and the ideas of Wittgenstein and Firth on linguisticsExamines how developments in machine learning provide insights into the philosophical challenge of justifying inductive inferencesDebates, with reference to philosophical anthropology, whether an advanced general artificial intelligence might be considered as a living beingInvestigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems and developing strong AIExplores philosophical questions at the intersection of AI and transhumanismThis 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 148 pp. Englisch. N° de réf. du vendeur 9783030375904
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Guide to Deep Learning Basics : Logical, Historical and Philosophical Perspectives
Edité par
Springer International Publishing, 2020
ISBN 10 : 3030375900
ISBN 13 : 9783030375904
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 AIPresents a philosophical case for the use of fuzzy logic approaches in AIInvestigates the similarities and differences between the Word2vec word embedding algorithm, and the ideas of Wittgenstein and Firth on linguisticsExamines how developments in machine learning provide insights into the philosophical challenge of justifying inductive inferencesDebates, with reference to philosophical anthropology, whether an advanced general artificial intelligence might be considered as a living beingInvestigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems and developing strong AIExplores philosophical questions at the intersection of AI and transhumanismThis 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. N° de réf. du vendeur 9783030375904
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EUR 106,99
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