paperback. Condition: Used: Very Good. Clean and unmarked. Some minor cosmetic shelf wear. From a private collection. Very good condition. Comes from non smoking home.
Seller: Goodwill Southern California, Los Angeles, CA, U.S.A.
Condition: good.
Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Condition: Good. The cover and pages show normal wear. Book edges have stains. The cover corners show visible damage.
Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships USPS Media Mail.
hardcover. Condition: Very Good. 1st ed. 2018. Used - Very Good.
hardcover. Condition: As New. ***Please Read*** No marks on text - My shelf location 40-E-40*.
Hardcover. Condition: Very Good. No Jacket. 1st Edition. Very good+ hardcover with clean & bright boards w/minor bumps/dents to boards; interior pages are white & crisp, no marks, looks barely used if at all. No dust jacket as issued. See photos.
Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Very Good. Cover and edges may have some wear.
Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2023.
Condition: New.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condition: As New. Unread book in perfect condition.
Published by Springer Nature Switzerland Ag, 2018
ISBN 10: 3030068560 ISBN 13: 9783030068561
Language: English
Seller: Anybook.com, Lincoln, United Kingdom
US$ 48.14
Convert currencyQuantity: 1 available
Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9783030068561.
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 59.90
Convert currencyQuantity: 1 available
Add to basketCondition: New. In.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 60.75
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. In.
US$ 67.43
Convert currencyQuantity: 1 available
Add to basketCondition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 59.89
Convert currencyQuantity: 2 available
Add to basketCondition: New.
US$ 76.04
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031296419 ISBN 13: 9783031296413
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Deep learning methods for various data domains, such as text, images, and graphs are presented in detail. The chapters of this book span three categories: The basics of neural networks: The backpropagation algorithm is discussed in Chapter 2.Many traditional machine learning models can be understood as special cases of neural networks. Chapter 3 explores the connections between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 4 and 5. Chapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 8, 9, and 10 discuss recurrent neural networks, convolutional neural networks, and graph neural networks. Several advanced topics like deep reinforcement learning, attention mechanisms, transformer networks, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 11 and 12. The textbook is written for graduate students and upper under graduate level students. Researchers and practitioners working within this related field will want to purchase this as well.Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.The second edition is substantially reorganized and expanded with separate chapters on backpropagation and graph neural networks. Many chapters have been significantly revised over the first edition.Greater focus is placed on modern deep learning ideas such as attention mechanisms, transformers, and pre-trained language models. Chapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 8, 9, and 10 discuss recurrent neural networks, convolutional neural networks, and graph neural networks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
US$ 69.94
Convert currencyQuantity: 1 available
Add to basketCondition: New. 2024. Second Edition 2023. paperback. . . . . .
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
US$ 78.55
Convert currencyQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 63.12
Convert currencyQuantity: 2 available
Add to basketCondition: As New. Unread book in perfect condition.
US$ 73.78
Convert currencyQuantity: 2 available
Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.