Published by Independently published, 2019
ISBN 10: 1795409207 ISBN 13: 9781795409209
Language: English
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Seller: California Books, Miami, FL, U.S.A.
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Paperback. Condition: new. Paperback. Step into the future of Artificial Intelligence with Mastering Deep Learning with PyTorch: A Practical Guide. Whether you're an AI enthusiast, data scientist, or software engineer, this book delivers a powerful combination of theory and practical, hands-on examples designed to build advanced neural networks with PyTorch.Starting from the fundamentals of deep learning, you'll explore advanced topics like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. With clear explanations and real-world applications, this guide covers everything from training deep learning models efficiently to deploying them in production environments.Unlock the full potential of PyTorch's dynamic computation graphs and learn to build models that continuously improve. Whether you're working on image recognition, natural language processing, or generative adversarial networks (GANs), this guide equips you with the tools to master deep learning and solve complex AI problems.Don't miss out on the opportunity to elevate your career and transform the way you approach machine learning. Perfect for anyone who wants to stay ahead of the curve in AI development, Mastering Deep Learning with PyTorch offers everything you need to supercharge your AI projects! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: -OnTimeBooks-, Phoenix, AZ, U.S.A.
Condition: 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 youâre not satisfied with purchase please return item for full refund. Ships via media mail.
Seller: -OnTimeBooks-, Phoenix, AZ, U.S.A.
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 youâre not satisfied with purchase please return item for full refund. Ships USPS Media Mail.
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 148 | Sprache: Englisch | Produktart: Bücher.
Published by Mechanical Industry Press, 2024
ISBN 10: 7111744675 ISBN 13: 9787111744672
Language: English
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-06 Pages: 90 Publisher: China Machine Press PyTorch is an open source Python machine learning library with the characteristics of strong flexibility. fast start-up speed and easy expansion. Starting from PyTorch. this book introduces deep learning through interspersed practical exercises. so that readers can have a deeper understanding of relevant knowledge. This book is divided into 6 chapters. Chapter 1 introduces the installation and basic operati.
Seller: California Books, Miami, FL, U.S.A.
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Seller: California Books, Miami, FL, U.S.A.
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Seller: Books Puddle, New York, NY, U.S.A.
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Published by Mechanical Industry Press, 2024
ISBN 10: 7111749723 ISBN 13: 9787111749721
Language: English
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2024-04 Pages: 248 Publisher: China Machine Press The PyTorch Guide to Deep Learning series explains in detail and in a step-by-step manner the important concepts. algorithms. and models related to deep learning. and focuses on how pytorch implements these algorithms and models. It is divided into three volumes: Programming Basics. Computer Vision. and Sequence and Natural Language Processing. This book is the second volume of the series: Computer Vision. This book mainly.
Published by Mechanical Industry Press, 2024
ISBN 10: 7111744594 ISBN 13: 9787111744597
Language: English
Seller: liu xing, Nanjing, JS, China
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2024-03 Pages: 324 Publisher: China Machine Press The PyTorch Guide to Deep Learning series explains in detail and in a step-by-step manner the important concepts. algorithms. and models related to deep learning. and focuses on how PyTorch implements these algorithms and models. It is divided into three volumes: Programming Basics. Computer Vision. and Sequence and Natural Language Processing. This book is the third volume of the series: Sequence and Natural Language Proc.