This book offers a thorough exploration of deep learning, providing both foundational knowledge and practical insights that are essential for anyone interested in this rapidly evolving field. It begins with a comprehensive introduction to deep learning, emphasizing its significance and the transformative impact it has had across various industries. Designed to be accessible to both beginners and experienced practitioners, the book systematically guides readers through the essential concepts and mathematical foundations that underpin deep learning, such as linear algebra, calculus, probability, and information theory. This book then delves into the fundamentals of deep learning, offering a detailed look at supervised, unsupervised, and reinforcement learning. It also covers key evaluation metrics, providing readers with the tools needed to assess the performance of different models effectively. The book explains complex concepts like activation functions, feedforward and backpropagation algorithms, and loss functions in a clear and accessible manner.Overall, this book serves as a comprehensive guide to understanding and applying deep learning.
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a thorough exploration of deep learning, providing both foundational knowledge and practical insights that are essential for anyone interested in this rapidly evolving field. It begins with a comprehensive introduction to deep learning, emphasizing its significance and the transformative impact it has had across various industries. Designed to be accessible to both beginners and experienced practitioners, the book systematically guides readers through the essential concepts and mathematical foundations that underpin deep learning, such as linear algebra, calculus, probability, and information theory. This book then delves into the fundamentals of deep learning, offering a detailed look at supervised, unsupervised, and reinforcement learning. It also covers key evaluation metrics, providing readers with the tools needed to assess the performance of different models effectively. The book explains complex concepts like activation functions, feedforward and backpropagation algorithms, and loss functions in a clear and accessible manner.Overall, this book serves as a comprehensive guide to understanding and applying deep learning.Books on Demand GmbH, Überseering 33, 22297 Hamburg 268 pp. Englisch. N° de réf. du vendeur 9786208011291
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Paperback. Etat : new. Paperback. This book offers a thorough exploration of deep learning, providing both foundational knowledge and practical insights that are essential for anyone interested in this rapidly evolving field. It begins with a comprehensive introduction to deep learning, emphasizing its significance and the transformative impact it has had across various industries. Designed to be accessible to both beginners and experienced practitioners, the book systematically guides readers through the essential concepts and mathematical foundations that underpin deep learning, such as linear algebra, calculus, probability, and information theory. This book then delves into the fundamentals of deep learning, offering a detailed look at supervised, unsupervised, and reinforcement learning. It also covers key evaluation metrics, providing readers with the tools needed to assess the performance of different models effectively. The book explains complex concepts like activation functions, feedforward and backpropagation algorithms, and loss functions in a clear and accessible manner.Overall, this book serves as a comprehensive guide to understanding and applying deep learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9786208011291
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Paperback. Etat : new. Paperback. This book offers a thorough exploration of deep learning, providing both foundational knowledge and practical insights that are essential for anyone interested in this rapidly evolving field. It begins with a comprehensive introduction to deep learning, emphasizing its significance and the transformative impact it has had across various industries. Designed to be accessible to both beginners and experienced practitioners, the book systematically guides readers through the essential concepts and mathematical foundations that underpin deep learning, such as linear algebra, calculus, probability, and information theory. This book then delves into the fundamentals of deep learning, offering a detailed look at supervised, unsupervised, and reinforcement learning. It also covers key evaluation metrics, providing readers with the tools needed to assess the performance of different models effectively. The book explains complex concepts like activation functions, feedforward and backpropagation algorithms, and loss functions in a clear and accessible manner.Overall, this book serves as a comprehensive guide to understanding and applying deep learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786208011291
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