Complete Handbook of Deep Learning: CNNs, RNNs & GENERATIVE MODELS - Couverture souple

K, Sundaresan ; R, Nallakumar

9786209273858: Complete Handbook of Deep Learning: CNNs, RNNs & GENERATIVE MODELS

Couverture souple

ISBN 10 : 6209273858 ISBN 13 : 9786209273858

Editeur : LAP Lambert Academic Publishing, 2025

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�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2025
Langue: anglais
ISBN 10: 6209273858
ISBN 13: 9786209273858
Reliure: Broch�
Nombre de pages: 196
Coordonn�es du fabricant: non disponible
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Complete Handbook of Deep Learning

Sundaresan K

Edit� par LAP LAMBERT Academic Publishing, 2025

ISBN 10 : 6209273858 ISBN 13 : 9786209273858

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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N� de r�f. du vendeur L0-9786209273858

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Complete Handbook of Deep Learning (Paperback)

Sundaresan K.

Edit� par LAP Lambert Academic Publishing, 2025

ISBN 10 : 6209273858 ISBN 13 : 9786209273858

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Paperback. Etat : new. Paperback. This book offers a comprehensive and structured introduction to the foundations, architectures, and applications of deep learning. Beginning with core mathematical concepts such as linear algebra, probability, and optimization, it builds a strong base for understanding modern neural networks. The text explores key ideas like model capacity, bias-variance trade-off, overfitting, and hyperparameter tuning. Readers are then guided through major deep learning architectures, including Convolutional Neural Networks (CNNs) for image analysis, Recurrent Neural Networks (RNNs) and LSTMs for sequence modeling, and advanced generative models like Autoencoders, Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs). Each chapter presents clear explanations, diagrams, and practical examples to simplify complex concepts. Designed for students, educators, and AI practitioners, the book provides both theoretical depth and practical insights. It serves as a complete reference for anyone seeking to understand, build, and apply deep learning models effectively across real-world problems in computer vision, natural language processing, and generative AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9786209273858

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Complete Handbook of Deep Learning: CNNs, RNNs & GENERATIVE MODELS

K, Sundaresan; R, Nallakumar

Edit� par LAP Lambert Academic Publishing, 2025

ISBN 10 : 6209273858 ISBN 13 : 9786209273858

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COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs & GENERATIVE MODELS

Sundaresan K

Edit� par LAP LAMBERT Academic Publishing Nov 2025, 2025

ISBN 10 : 6209273858 ISBN 13 : 9786209273858

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 196 pp. Englisch. N� de r�f. du vendeur 9786209273858

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Complete Handbook of Deep Learning (Paperback)

Sundaresan K.

Edit� par LAP Lambert Academic Publishing, 2025

ISBN 10 : 6209273858 ISBN 13 : 9786209273858

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Paperback. Etat : new. Paperback. This book offers a comprehensive and structured introduction to the foundations, architectures, and applications of deep learning. Beginning with core mathematical concepts such as linear algebra, probability, and optimization, it builds a strong base for understanding modern neural networks. The text explores key ideas like model capacity, bias-variance trade-off, overfitting, and hyperparameter tuning. Readers are then guided through major deep learning architectures, including Convolutional Neural Networks (CNNs) for image analysis, Recurrent Neural Networks (RNNs) and LSTMs for sequence modeling, and advanced generative models like Autoencoders, Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs). Each chapter presents clear explanations, diagrams, and practical examples to simplify complex concepts. Designed for students, educators, and AI practitioners, the book provides both theoretical depth and practical insights. It serves as a complete reference for anyone seeking to understand, build, and apply deep learning models effectively across real-world problems in computer vision, natural language processing, and generative AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9786209273858

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Complete Handbook of Deep Learning (Paperback)

Sundaresan K.

Edit� par LAP Lambert Academic Publishing, 2025

ISBN 10 : 6209273858 ISBN 13 : 9786209273858

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Paperback. Etat : new. Paperback. This book offers a comprehensive and structured introduction to the foundations, architectures, and applications of deep learning. Beginning with core mathematical concepts such as linear algebra, probability, and optimization, it builds a strong base for understanding modern neural networks. The text explores key ideas like model capacity, bias-variance trade-off, overfitting, and hyperparameter tuning. Readers are then guided through major deep learning architectures, including Convolutional Neural Networks (CNNs) for image analysis, Recurrent Neural Networks (RNNs) and LSTMs for sequence modeling, and advanced generative models like Autoencoders, Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs). Each chapter presents clear explanations, diagrams, and practical examples to simplify complex concepts. Designed for students, educators, and AI practitioners, the book provides both theoretical depth and practical insights. It serves as a complete reference for anyone seeking to understand, build, and apply deep learning models effectively across real-world problems in computer vision, natural language processing, and generative AI. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de r�f. du vendeur 9786209273858

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COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs & GENERATIVE MODELS

Sundaresan K (u. a.)

Edit� par LAP LAMBERT Academic Publishing, 2025

ISBN 10 : 6209273858 ISBN 13 : 9786209273858

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Taschenbuch. Etat : Neu. COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs & GENERATIVE MODELS | Sundaresan K (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209273858 | Verantwortliche Person f�r die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N� de r�f. du vendeur 134385391

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COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs & GENERATIVE MODELS

Sundaresan K

Edit� par LAP LAMBERT Academic Publishing Nov 2025, 2025

ISBN 10 : 6209273858 ISBN 13 : 9786209273858

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a comprehensive and structured introduction to the foundations, architectures, and applications of deep learning. Beginning with core mathematical concepts such as linear algebra, probability, and optimization, it builds a strong base for understanding modern neural networks. The text explores key ideas like model capacity, bias-variance trade-off, overfitting, and hyperparameter tuning. Readers are then guided through major deep learning architectures, including Convolutional Neural Networks (CNNs) for image analysis, Recurrent Neural Networks (RNNs) and LSTMs for sequence modeling, and advanced generative models like Autoencoders, Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs). Each chapter presents clear explanations, diagrams, and practical examples to simplify complex concepts. Designed for students, educators, and AI practitioners, the book provides both theoretical depth and practical insights. It serves as a complete reference for anyone seeking to understand, build, and apply deep learning models effectively across real-world problems in computer vision, natural language processing, and generative AI.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 196 pp. Englisch. N� de r�f. du vendeur 9786209273858

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