Guide Deep Learning Basics (43 results)

paperback. Condition: Very Good. In very good and unmarked condition. Your purchase benefits the world-wide relief efforts of Mennonite Central Committee.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condition: New.

1st ed. 2020. VIII, 140 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Condition: New.

Buch. Condition: 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. …

Taschenbuch. Condition: 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. …

Paperback. Condition: Brand New. 148 pages. 9.25x6.10x0.32 inches. In Stock.

Taschenbuch. Condition: Neu. Guide to Deep Learning Basics | Logical, Historical and Philosophical Perspectives | Sandro Skansi | Taschenbuch | viii | Englisch | 2021 | Springer | EAN 9783030375935 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.…

Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condition: New. PRINT ON DEMAND.