Seller: Dream Books Co., Denver, CO, U.S.A.
Condition: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.
Seller: Dream Books Co., Denver, CO, U.S.A.
Condition: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
Seller: Austin Goodwill 1101, Austin, TX, U.S.A.
Condition: good. Book shows general signs of use and handling. May have light wear on the cover or edges and minimal writing or highlighting. Binding remains tight, and pages are clean and readable.
Seller: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Seller: HPB-Ruby, Dallas, TX, U.S.A.
paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Language: English
Published by Manning Publications, 2020
ISBN 10: 1617295264 ISBN 13: 9781617295263
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: upickbook, Daly City, CA, U.S.A.
paperback. Condition: New.
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Manning Publications 3/10/2026, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Deep Learning with Pytorch, Second Edition: Training and Applying Deep Learning and Generative AI Models. Book.
Language: English
Published by Manning Publications, US, 2020
ISBN 10: 1617295264 ISBN 13: 9781617295263
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features . Using the PyTorch tensor API . Understanding automatic differentiation in PyTorch . Training deep neural networks . Monitoring training and visualizing results . Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Language: English
Published by Manning Publications -, 2020
ISBN 10: 1617295264 ISBN 13: 9781617295263
Seller: Chiron Media, Wallingford, United Kingdom
Paperback. Condition: New.
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Condition: New.
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: Russell Books, Victoria, BC, Canada
paperback. Condition: New. Special order direct from the distributor.
Language: English
Published by Manning Publications, 2020
ISBN 10: 1617295264 ISBN 13: 9781617295263
Seller: Chiron Media, Wallingford, United Kingdom
paperback. Condition: New.
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new.
Language: English
Published by Manning Publications, US, 2020
ISBN 10: 1617295264 ISBN 13: 9781617295263
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condition: New. Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features . Using the PyTorch tensor API . Understanding automatic differentiation in PyTorch . Training deep neural networks . Monitoring training and visualizing results . Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 450 pages. 9.00x7.25x1.00 inches. In Stock.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 2nd edition. 600 pages. 9.25x7.37x9.25 inches. In Stock.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 450 pages. 9.00x7.25x1.00 inches. In Stock.
Condition: New.
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Condition: New.
Language: English
Published by Manning Publications, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 2nd edition. 600 pages. 9.25x7.37x9.25 inches. In Stock.