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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Hands-On Deep Learning: From Beginner to Advanced with TensorFlow | Rupesh Kumar Tipu (u. a.) | Taschenbuch | 80 S. | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207808083 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 80 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Hands-On Deep Learning: From Beginner to Advanced with TensorFlow' is a comprehensive guide that takes readers on a journey through the world of deep learning. The book covers fundamental concepts, practical implementations, and advanced techniques using TensorFlow, one of the most powerful and popular deep learning frameworks. With a focus on hands-on projects and real-world applications, this book is designed for students, researchers, and professionals who want to master deep learning from the ground up. Topics include neural networks, convolutional neural networks, recurrent neural networks, reinforcement learning, hyperparameter tuning, model optimization, and deployment strategies, along with practical case studies and future trends in the field.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.
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ISBN 10: 6207808088 ISBN 13: 9786207808083
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Hands-On Deep Learning: From Beginner to Advanced with TensorFlow' is a comprehensive guide that takes readers on a journey through the world of deep learning. The book covers fundamental concepts, practical implementations, and advanced techniques using TensorFlow, one of the most powerful and popular deep learning frameworks. With a focus on hands-on projects and real-world applications, this book is designed for students, researchers, and professionals who want to master deep learning from the ground up. Topics include neural networks, convolutional neural networks, recurrent neural networks, reinforcement learning, hyperparameter tuning, model optimization, and deployment strategies, along with practical case studies and future trends in the field.