Order Total (1 Item Items):
Shipping Destination:
Principles Deep Learning Theory by Roberts Daniel (23 results)
Feedback
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (23)
- 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
Binding
- All Bindings
- Hardcover (23)
- Softcover (No further results match this refinement)
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 (9)
- Not Print on Demand (20)
Language (2)
Price
- Any Price
- Under US$ 25 (No further results match this refinement)
- US$ 25 to US$ 50 (No further results match this refinement)
- Over US$ 50
Free Shipping
Seller Location
Seller Rating
-
The Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
Condition: Good. 44. Used book that is in clean, average condition without any missing pages.
-
Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 87.79
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 86.45
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
Condition: New.
-
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press
hardcover. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
-
Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 101.06
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
The Principles of Deep Learning Theory (Hardcover)
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
Hardcover. Condition: new. Hardcover. This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning. This is the first book focused entirely on deep learning theory. Tools from theoretical physics are borrowed and adapted to explain, from first principles, how realistic deep neural networks work, benefiting practitioners looking to build better AI models and theorists looking for a unifying framework for understanding intelligence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 95.53
Convert currencyUS$ 16.22 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 95.52
Convert currencyUS$ 20.31 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 107.73
Convert currencyUS$ 11.98 shipping from Ireland to U.S.A.Quantity: 3 available
Add to basketCondition: New. 2022. New. Hardcover. . . . . .
-
Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 103.99
Convert currencyUS$ 20.31 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
PRINCIPLES OF DEEP LEARNING THEORY
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 80.66
Convert currencyUS$ 55.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: NEW.
-
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
Condition: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.
-
The Principles of Deep Learning Theory
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 128.81
Convert currencyUS$ 11.35 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketCondition: New. pp. 472.
-
The Principles of Deep Learning Theory
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 104.99
Convert currencyUS$ 38.06 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning'--.
-
The Principles of Deep Learning Theory
Published by Cambridge University Press CUP, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
Condition: New. pp. 472.
-
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 138.95
Convert currencyUS$ 13.54 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 390 pages. 10.00x7.00x1.00 inches. In Stock.
-
The Principles of Deep Learning Theory (Hardcover)
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 101.77
Convert currencyUS$ 50.09 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning. This is the first book focused entirely on deep learning theory. Tools from theoretical physics are borrowed and adapted to explain, from first principles, how realistic deep neural networks work, benefiting practitioners looking to build better AI models and theorists looking for a unifying framework for understanding intelligence. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
-
The Principles of Deep Learning Theory
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 99.92
Convert currencyUS$ 55.88 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketCondition: New. This is the first book focused entirely on deep learning theory. Tools from theoretical physics are borrowed and adapted to explain, from first principles, how realistic deep neural networks work, benefiting practitioners looking to build better AI models a.
-
The Principles of Deep Learning Theory (Hardcover)
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 128.99
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning. This is the first book focused entirely on deep learning theory. Tools from theoretical physics are borrowed and adapted to explain, from first principles, how realistic deep neural networks work, benefiting practitioners looking to build better AI models and theorists looking for a unifying framework for understanding intelligence. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 96.62
Convert currencyUS$ 13.54 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 390 pages. 10.00x7.00x1.00 inches. In Stock. This item is printed on demand.
-
The Principles of Deep Learning Theory
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
US$ 100.19
Convert currencyUS$ 8.80 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New. pp. 472 This item is printed on demand.
-
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Published by Cambridge University Press, 2022
ISBN 10: 1316519333 ISBN 13: 9781316519332
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 100.01
Convert currencyUS$ 23.49 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1060.
