Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
EUR 38,75
Anzahl: 11 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
EUR 50,79
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
EUR 57,83
Anzahl: 3 verfügbar
In den WarenkorbZustand: New.
EUR 51,44
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
Zustand: New.
EUR 65,76
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
EUR 65,76
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
EUR 42,44
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Giovanni Volpe, head of the Soft Matter Lab at the University of Gothenburg and recipient of the Göran Gustafsson Prize in Physics, has published extensively on deep learning and physics and developed key software packages including DeepTrack, D.
EUR 46,20
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: NEW.
Taschenbuch. Zustand: Neu. Deep Learning Crash Course | Giovanni Volpe (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Random House LLC US | EAN 9781718503922 | Verantwortliche Person für die EU: Springer Fachmedien Wiesbaden GmbH, Postfach:15 46, 65189 Wiesbaden, info[at]bod[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Random House LLC US Jan 2026, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -A complete guide to deep neural networks the technology behind AI covering fundamental and advanced techniques to apply machine learning in real-world scenarios.Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future.The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo).This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 680 pp. Englisch.
Sprache: Englisch
Verlag: Random House LLC US Jan 2026, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - A complete guide to deep neural networks the technology behind AI covering fundamental and advanced techniques to apply machine learning in real-world scenarios.Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future.The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo).This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.
Sprache: Englisch
Verlag: Random House LLC US Jan 2026, 2026
ISBN 10: 171850392X ISBN 13: 9781718503922
Anbieter: Books-by-Floh, Paderborn, Deutschland
Taschenbuch. Zustand: Neu. Neuware -A complete guide to deep neural networks the technology behind AI covering fundamental and advanced techniques to apply machine learning in real-world scenarios.Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future.The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo).This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work. 680 pp. Englisch.