Order Total (1 Item Items):
Shipping Destination:
Deep Learning Generalization by Peng Liu (44 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (44)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (40)
- As New, Fine or Near Fine (4)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (10)
- Not Print on Demand (32)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
Deep Learning Generalization : Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Condition: New.
-
Deep Learning Generalization
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Condition: New.
-
Deep Learning Generalization
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Condition: New.
-
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Deep Learning Generalization
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Condition: New.
-
Deep Learning Generalization : Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Condition: As New. Unread book in perfect condition.
-
Deep Learning Generalization
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Deep Learning Generalization
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robust performance on unseen data. Key topics include balancing model complexity, addressing overfitting and underfitting, and understanding modern phenomena such as the double descent curve and implicit regularization.The book offers a holistic perspective by addressing the four critical components of model training: data, model architecture, objective functions, and optimization processes. It combines mathematical rigor with hands-on guidance, introducing practical implementation techniques using PyTorch to bridge the gap between theory and real-world applications. For instance, the book highlights how regularized deep learning models not only achieve better predictive performance but also assume a more compact and efficient parameter space. Structured to accommodate a progressive learning curve, the content spans foundational concepts like statistical learning theory to advanced topics like Neural Tangent Kernels and overparameterization paradoxes.By synthesizing classical and modern views of generalization, the book equips readers to develop a nuanced understanding of key concepts while mastering practical applications.For academics, the book serves as a definitive resource to solidify theoretical knowledge and explore cutting-edge research directions. For industry professionals, it provides actionable insights to enhance model performance systematically. Whether you're a beginner seeking foundational understanding or a practitioner exploring advanced methodologies, this book offers an indispensable guide to achieving robust generalization in deep learning.
-
Deep Learning Generalization : Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 68.43
US$ 20.18 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: New.
-
Deep Learning Generalization: Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC -, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
US$ 69.79
US$ 20.84 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketpaperback. Condition: New.
-
Deep Learning Generalization
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Paperback. Condition: New. This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robust performance on unseen data. Key topics include balancing model complexity, addressing overfitting and underfitting, and understanding modern phenomena such as the double descent curve and implicit regularization.The book offers a holistic perspective by addressing the four critical components of model training: data, model architecture, objective functions, and optimization processes. It combines mathematical rigor with hands-on guidance, introducing practical implementation techniques using PyTorch to bridge the gap between theory and real-world applications. For instance, the book highlights how regularized deep learning models not only achieve better predictive performance but also assume a more compact and efficient parameter space. Structured to accommodate a progressive learning curve, the content spans foundational concepts like statistical learning theory to advanced topics like Neural Tangent Kernels and overparameterization paradoxes.By synthesizing classical and modern views of generalization, the book equips readers to develop a nuanced understanding of key concepts while mastering practical applications.For academics, the book serves as a definitive resource to solidify theoretical knowledge and explore cutting-edge research directions. For industry professionals, it provides actionable insights to enhance model performance systematically. Whether you're a beginner seeking foundational understanding or a practitioner exploring advanced methodologies, this book offers an indispensable guide to achieving robust generalization in deep learning.
-
Deep Learning Generalization
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 80.34
US$ 16.12 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Deep Learning Generalization: Theoretical Foundations and Practical Strategies
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 77.65
US$ 20.20 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
-
Deep Learning Generalization : Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 78.26
US$ 20.18 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Deep Learning Generalization: Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
-
Deep Learning Generalization: Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Condition: New.
-
DEEP LEARNING GENERALIZATION
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
US$ 68.45
US$ 55.17 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: NEW.
-
US$ 112.11
US$ 13.46 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 200 pages. 9.18x6.12x9.21 inches. In Stock.
-
Condition: New. Liu Peng is currently an Assistant Professor of Quantitative Finance at the Singapore Management University (SMU). His research interests include generalization in deep learning, sparse estimation, Bayesian optimization.This book provid.
-
Deep Learning Generalization
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Paperback. Condition: New. This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robust performance on unseen data. Key topics include balancing model complexity, addressing overfitting and underfitting, and understanding modern phenomena such as the double descent curve and implicit regularization.The book offers a holistic perspective by addressing the four critical components of model training: data, model architecture, objective functions, and optimization processes. It combines mathematical rigor with hands-on guidance, introducing practical implementation techniques using PyTorch to bridge the gap between theory and real-world applications. For instance, the book highlights how regularized deep learning models not only achieve better predictive performance but also assume a more compact and efficient parameter space. Structured to accommodate a progressive learning curve, the content spans foundational concepts like statistical learning theory to advanced topics like Neural Tangent Kernels and overparameterization paradoxes.By synthesizing classical and modern views of generalization, the book equips readers to develop a nuanced understanding of key concepts while mastering practical applications.For academics, the book serves as a definitive resource to solidify theoretical knowledge and explore cutting-edge research directions. For industry professionals, it provides actionable insights to enhance model performance systematically. Whether you're a beginner seeking foundational understanding or a practitioner exploring advanced methodologies, this book offers an indispensable guide to achieving robust generalization in deep learning.
-
Deep Learning Generalization | Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
Taschenbuch. Condition: Neu. Deep Learning Generalization | Theoretical Foundations and Practical Strategies | Liu Peng | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Chapman and Hall/CRC | EAN 9781032841892 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.
-
Deep Learning Generalization
Language: English
Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032841893 ISBN 13: 9781032841892
US$ 80.65
US$ 87.46 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: New. This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robust performance on unseen data. Key topics include balancing model complexity, addressing overfitting and underfitting, and understanding modern phenomena such as the double descent curve and implicit regularization.The book offers a holistic perspective by addressing the four critical components of model training: data, model architecture, objective functions, and optimization processes. It combines mathematical rigor with hands-on guidance, introducing practical implementation techniques using PyTorch to bridge the gap between theory and real-world applications. For instance, the book highlights how regularized deep learning models not only achieve better predictive performance but also assume a more compact and efficient parameter space. Structured to accommodate a progressive learning curve, the content spans foundational concepts like statistical learning theory to advanced topics like Neural Tangent Kernels and overparameterization paradoxes.By synthesizing classical and modern views of generalization, the book equips readers to develop a nuanced understanding of key concepts while mastering practical applications.For academics, the book serves as a definitive resource to solidify theoretical knowledge and explore cutting-edge research directions. For industry professionals, it provides actionable insights to enhance model performance systematically. Whether you're a beginner seeking foundational understanding or a practitioner exploring advanced methodologies, this book offers an indispensable guide to achieving robust generalization in deep learning.
-
Deep Learning Generalization : Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841907 ISBN 13: 9781032841908
Condition: New.
-
Deep Learning Generalization : Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841907 ISBN 13: 9781032841908
Condition: As New. Unread book in perfect condition.
-
Deep Learning Generalization : Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841907 ISBN 13: 9781032841908
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 219.77
US$ 20.18 shipping
Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Deep Learning Generalization
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841907 ISBN 13: 9781032841908
US$ 227.51
US$ 8.75 shipping
Ships from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
-
Deep Learning Generalization
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841907 ISBN 13: 9781032841908
Condition: New.
-
Deep Learning Generalization : Theoretical Foundations and Practical Strategies
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841907 ISBN 13: 9781032841908
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 243.03
US$ 20.18 shipping
Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: New.
-
US$ 207.80
US$ 57.13 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Liu Peng is currently an Assistant Professor of Quantitative Finance at the Singapore Management University (SMU). His research interests include generalization in deep learning, sparse estimation, Bayesian optimization.This book provid.
-
Deep Learning Generalization
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032841907 ISBN 13: 9781032841908
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 254.03
US$ 16.12 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
