Seller: Chattanooga Public Library Foundation, Chattanooga, TN, U.S.A.
Paperback. Condition: Interior is excellent. Minimal wear to cover. x library.
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New.
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. AI Development with TensorFlow and PyTorch: Foundations, Techniques, and Real-World Applications of Deep Learning is a professional guide designed for engineers, researchers, and tech leaders who need to navigate the world's two most powerful AI ecosystems. The book moves beyond a simple "how-to" by treating TensorFlow and PyTorch as a unified toolkit rather than competing rivals. It follows a rigorous path from the mathematical foundations of neural networks to high-level industrial deployment. Core Themes & HighlightsFramework Fluency: Unlike books that specialize in just one library, this work focuses on cross-framework proficiency. It teaches you how to choose the right tool for the job-leveraging PyTorch for research agility and TensorFlow for production stability. The Modern Architecture Stack: It provides deep dives into the transition from traditional CNNs and RNNs to modern Transformer architectures, Generative AI (GANs, VAEs, and Diffusion), and Large Language Models (LLMs). End-to-End MLOps: A significant portion is dedicated to the "Real-World" aspect. You learn how to manage data versions with DVC, track complex experiments with Weights & Biases, and deploy models to the edge using TFLite and ONNX. Responsible Innovation: The book concludes with a critical look at Ethical AI, teaching developers how to mathematically detect bias and harden their models against adversarial security attacks. Who is this for?This book is intended for intermediate to advanced practitioners-individuals who understand basic Python and are ready to build, scale, and deploy "enterprise-ready" artificial intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condition: New. Print on Demand.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.
Paperback. Condition: New. In shrink wrap. Looks like an interesting title!
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
£ 13.19
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Paperback. Condition: New.
Language: English
Published by Burleigh Dodds Science Publishing, 2018
ISBN 10: 1786761165 ISBN 13: 9781786761163
Seller: Basi6 International, Irving, TX, U.S.A.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Language: English
Published by CRC Press 2006-10-25, 2006
ISBN 10: 0849337186 ISBN 13: 9780849337185
Seller: Chiron Media, Wallingford, United Kingdom
Hardcover. Condition: New.
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. AI Development with TensorFlow and PyTorch: Foundations, Techniques, and Real-World Applications of Deep Learning is a professional guide designed for engineers, researchers, and tech leaders who need to navigate the world's two most powerful AI ecosystems. The book moves beyond a simple "how-to" by treating TensorFlow and PyTorch as a unified toolkit rather than competing rivals. It follows a rigorous path from the mathematical foundations of neural networks to high-level industrial deployment. Core Themes & HighlightsFramework Fluency: Unlike books that specialize in just one library, this work focuses on cross-framework proficiency. It teaches you how to choose the right tool for the job-leveraging PyTorch for research agility and TensorFlow for production stability. The Modern Architecture Stack: It provides deep dives into the transition from traditional CNNs and RNNs to modern Transformer architectures, Generative AI (GANs, VAEs, and Diffusion), and Large Language Models (LLMs). End-to-End MLOps: A significant portion is dedicated to the "Real-World" aspect. You learn how to manage data versions with DVC, track complex experiments with Weights & Biases, and deploy models to the edge using TFLite and ONNX. Responsible Innovation: The book concludes with a critical look at Ethical AI, teaching developers how to mathematically detect bias and harden their models against adversarial security attacks. Who is this for?This book is intended for intermediate to advanced practitioners-individuals who understand basic Python and are ready to build, scale, and deploy "enterprise-ready" artificial intelligence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.