Synopsis
The Deep Learning textbook provides a comprehensive introduction to the field of deep learning—a branch of machine learning focused on algorithms inspired by the structure and function of the brain's neural networks. It covers foundational topics such as linear algebra, probability, and information theory before delving into core deep learning concepts, including neural networks, optimization techniques, and regularization.Advanced topics include convolutional networks, sequence modeling (such as RNNs), generative models, and deep reinforcement learning. The book also explores theoretical foundations and future directions in deep learning research.Written by leading experts, this textbook is widely used in both academia and industry, offering practical insights alongside deep theoretical knowledge. It’s ideal for students, researchers, and professionals looking to understand and apply deep learning techniques.
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Introduction to Deep Learning: Theory and Practice
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LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208438233
ISBN 13: 9786208438234
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Introduction to Deep Learning
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Introduction to Deep Learning
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Introduction to Deep Learning: Theory and Practice
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Deep Learning textbook provides a comprehensive introduction to the field of deep learning-a branch of machine learning focused on algorithms inspired by the structure and function of the brain's neural networks. It covers foundational topics such as linear algebra, probability, and information theory before delving into core deep learning concepts, including neural networks, optimization techniques, and regularization.Advanced topics include convolutional networks, sequence modeling (such as RNNs), generative models, and deep reinforcement learning. The book also explores theoretical foundations and future directions in deep learning research.Written by leading experts, this textbook is widely used in both academia and industry, offering practical insights alongside deep theoretical knowledge. It's ideal for students, researchers, and professionals looking to understand and apply deep learning techniques. 76 pp. Englisch. Seller Inventory # 9786208438234
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Introduction to Deep Learning: Theory and Practice
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208438233
ISBN 13: 9786208438234
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Introduction to Deep Learning: Theory and Practice
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ISBN 10: 6208438233
ISBN 13: 9786208438234
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Introduction to Deep Learning (Paperback)
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ISBN 10: 6208438233
ISBN 13: 9786208438234
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Paperback. Condition: new. Paperback. The Deep Learning textbook provides a comprehensive introduction to the field of deep learning-a branch of machine learning focused on algorithms inspired by the structure and function of the brain's neural networks. It covers foundational topics such as linear algebra, probability, and information theory before delving into core deep learning concepts, including neural networks, optimization techniques, and regularization.Advanced topics include convolutional networks, sequence modeling (such as RNNs), generative models, and deep reinforcement learning. The book also explores theoretical foundations and future directions in deep learning research.Written by leading experts, this textbook is widely used in both academia and industry, offering practical insights alongside deep theoretical knowledge. It's ideal for students, researchers, and professionals looking to understand and apply deep learning techniques. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786208438234
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Introduction to Deep Learning: Theory and Practice
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208438233
ISBN 13: 9786208438234
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Introduction to Deep Learning: Theory and Practice
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208438233
ISBN 13: 9786208438234
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Deep Learning textbook provides a comprehensive introduction to the field of deep learning-a branch of machine learning focused on algorithms inspired by the structure and function of the brain's neural networks. It covers foundational topics such as linear algebra, probability, and information theory before delving into core deep learning concepts, including neural networks, optimization techniques, and regularization.Advanced topics include convolutional networks, sequence modeling (such as RNNs), generative models, and deep reinforcement learning. The book also explores theoretical foundations and future directions in deep learning research.Written by leading experts, this textbook is widely used in both academia and industry, offering practical insights alongside deep theoretical knowledge. It's ideal for students, researchers, and professionals looking to understand and apply deep learning techniques. Seller Inventory # 9786208438234
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Introduction to Deep Learning: Theory and Practice
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208438233
ISBN 13: 9786208438234
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Taschenbuch. Condition: Neu. Introduction to Deep Learning: Theory and Practice | Lakshmi Prasad Mudarakola (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208438234 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 133336220