Items related to COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs &...
Synopsis
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.
"synopsis" may belong to another edition of this title.
Search results for COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs &...
Stock Image
Complete Handbook of Deep Learning
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209273858
ISBN 13: 9786209273858
New
PAP
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9786209273858
Stock Image
Complete Handbook of Deep Learning
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209273858
ISBN 13: 9786209273858
New
PAP
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9786209273858
Buy New
US$ 93.27
US$ 5.57 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs & GENERATIVE MODELS
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209273858
ISBN 13: 9786209273858
New
Softcover
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9786209273858
Stock Image
COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs & GENERATIVE MODELS
Published by
LAP LAMBERT Academic Publishing Nov 2025, 2025
ISBN 10: 6209273858
ISBN 13: 9786209273858
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 196 pp. Englisch. Seller Inventory # 9786209273858
Buy New
US$ 91.83
US$ 25.66 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Seller Image
COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs & GENERATIVE MODELS
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209273858
ISBN 13: 9786209273858
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786209273858
Buy New
US$ 100.35
US$ 39.05 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available
Stock Image
Complete Handbook of Deep Learning (Paperback)
Published by
LAP Lambert Academic Publishing, 2025
ISBN 10: 6209273858
ISBN 13: 9786209273858
New
Paperback
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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. Seller Inventory # 9786209273858
Buy New
US$ 100.66
US$ 49.54 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs & GENERATIVE MODELS
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209273858
ISBN 13: 9786209273858
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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 für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 134385391
Buy New
US$ 77.24
US$ 78.11 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 5 available
Seller Image
COMPLETE HANDBOOK OF DEEP LEARNING: CNNs, RNNs & GENERATIVE MODELS
Published by
LAP LAMBERT Academic Publishing Nov 2025, 2025
ISBN 10: 6209273858
ISBN 13: 9786209273858
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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 Landstraße 99, 66123 Saarbrücken 196 pp. Englisch. Seller Inventory # 9786209273858
Buy New
US$ 91.83
US$ 66.95 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available
Stock Image
Complete Handbook of Deep Learning: CNNs, RNNs & GENERATIVE MODELS
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209273858
ISBN 13: 9786209273858
New
Softcover
Seller: Books Puddle, Woodside, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 26405490394
Stock Image
Complete Handbook of Deep Learning: CNNs, RNNs & GENERATIVE MODELS
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209273858
ISBN 13: 9786209273858
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 408745221
Buy New
US$ 171.84
US$ 8.70 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 4 available