Da: Dream Books Co., Denver, CO, U.S.A.
Condizione: 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!
Da: Greenworld Books, Arlington, TX, U.S.A.
Condizione: like_new. Fast Free Shipping â" Excellent condition book with clean cover and pages. Barely handled, with minimal wear. An outstanding copy, close to enjoy!
Condizione: 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.
Da: -OnTimeBooks-, Phoenix, AZ, U.S.A.
Condizione: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.
Condizione: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Condizione: New.
Da: upickbook, Daly City, CA, U.S.A.
paperback. Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 48,88
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 50,35
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Manning Publications 3/10/2026, 2026
ISBN 10: 1633438856 ISBN 13: 9781633438859
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Deep Learning with Pytorch, Second Edition: Training and Applying Deep Learning and Generative AI Models. Book.
EUR 58,21
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: California Books, Miami, FL, U.S.A.
EUR 58,53
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Chiron Media, Wallingford, Regno Unito
EUR 41,06
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 46,00
Quantità: Più di 20 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 49,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 63,42
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 63,42
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Paperback. Condizione: 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.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 57,29
Quantità: 9 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 52,70
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 59,22
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: new.
Da: Revaluation Books, Exeter, Regno Unito
EUR 65,96
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 450 pages. 9.00x7.25x1.00 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 65,04
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 600 pages. 9.25x7.37x9.25 inches. In Stock.
Da: Russell Books, Victoria, BC, Canada
EUR 63,85
Quantità: 17 disponibili
Aggiungi al carrellopaperback. Condizione: New. Special order direct from the distributor.
Condizione: New.
EUR 75,88
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 79,74
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 79,92
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 600 pages. 9.25x7.37x9.25 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 79,92
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 600 pages. 9.25x7.37x9.25 inches. In Stock.
EUR 61,17
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: New. Über den AutorEli 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.Klappentextrn.