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Artículo: AMZ-B0GCWC5J42
The Ultimate TENSORFLOW Cookbook: Accelerated Training and Inference on GPUs, TPUs, and Edge Devices (Mastering Deep Learning & Machine learning)
Format:
Kindle
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0.20 kg
0.20 kg
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Amazon
Amazon
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USA
USA
Sobre este producto
- What if your TensorFlow models didn’t just work—but worked faster, smarter, and at scale? What if training that once took days could be reduced to hours? What if deploying across GPUs, TPUs, mobile devices, and edge systems felt intentional instead of painful? And what if you truly understood why your model behaves the way it does—and how to push it further?That is the conversation this book invites you into.The Ultimate TensorFlow Cookbook is not just another technical guide. It is a dialogue with you—the builder, the engineer, the researcher, the problem-solver—who has stared at training logs, profiling traces, and deployment errors and asked the hard questions.Why is my model slow even on a GPU? Why does performance drop after deployment? How do I optimize TensorFlow beyond the defaults? What does “production-ready” actually mean in real systems? And how do I future-proof my skills as hardware and frameworks continue to evolve?This book meets you exactly there.It goes beyond surface-level tutorials and explores accelerated training and inference in depth, showing how TensorFlow behaves on modern hardware—GPUs, TPUs, and edge devices—and how to make that behavior work in your favor. Not with vague tips, but with practical, reasoned, and production-tested approaches.You’ll learn to see TensorFlow not as a black box, but as a system. You’ll challenge assumptions about performance, scalability, and architecture. You’ll develop the mindset of both a machine learning researcher and a systems engineer.Is your goal experimentation—or impact? This book is written for those who want impact. It walks through efficient data pipelines, mixed precision training, distributed strategies, inference optimization, model compression, edge deployment, and real-world MLOps considerations—always explaining why a technique works, when to use it, and when not to.You are not just following recipes. You are learning how to design your own.What happens when your model leaves the notebook and meets the real world? This book treats that moment as central, not optional. From cloud deployment to mobile inference, from high-throughput serving to low-latency edge systems, deployment is handled as a first-class engineering problem.Throughout the journey, the tone remains conversational, curious, and challenging—respectful of your intelligence and focused on understanding rather than shortcuts.Because the real question isn’t whether you can train a model. The real question is whether you can build a system that lasts.Written by Freddie Pabel Mark, The Ultimate TensorFlow Cookbook is for professionals who want clarity, depth, and confidence when working with TensorFlow at scale. Whether you are optimizing your first GPU pipeline or orchestrating distributed training across accelerators, this book speaks your language—and pushes you forward.If you have ever wanted a TensorFlow book that feels like a thoughtful conversation rather than a lecture, this is it.Ready to question how you build models—and transform how you deploy them? Start reading. Start experimenting. Start accelerating.
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