Da: Chattanooga Public Library Foundation, Chattanooga, TN, U.S.A.
Paperback. Condizione: Interior is excellent. Minimal wear to cover. x library.
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 16,16
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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.
Da: California Books, Miami, FL, U.S.A.
EUR 16,32
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 16,85
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: BennettBooksLtd, Los Angeles, CA, U.S.A.
Paperback. Condizione: New. In shrink wrap. Looks like an interesting title!
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 15,77
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Rarewaves.com UK, London, Regno Unito
EUR 15,76
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Burleigh Dodds Science Publishing, 2018
ISBN 10: 1786761165 ISBN 13: 9781786761163
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Chiron Media, Wallingford, Regno Unito
EUR 187,33
Quantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: CitiRetail, Stevenage, Regno Unito
EUR 19,12
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.