Machine Learning with C++ and TensorFlow: Build Fast, Reliable AI Systems from Code to Deployment (The Complete C++ Engineering Series) - Tapa blanda

Machine Learning with C++ and TensorFlow (Paperback)

Paperback. Condición: new. Paperback. Build Fast, Reliable AI Systems from Code to DeploymentLooking to master machine learning in C++-without getting lost in theory?This book makes advanced AI approachable. It explains every concept in clear, plain language-while providing serious technical depth through rigorous exercises, real-world projects, and expert-level code samples. You'll gain the clarity of a beginner-friendly guide with the challenge of a professional-grade resource.Inside, You'll Learn How To: Build machine learning models using TensorFlow's powerful C++ APIImplement core algorithms: regression, trees, neural networks, reinforcement learningWork with real data in computer vision, natural language processing, and time seriesOptimize models for speed, memory, and deployment on edge devicesDeploy full ML pipelines into production with C++ and TensorFlowWhat Makes This Book Different: Easy to read: complex ideas broken down step-by-stepHard to master: advanced exercises and deep implementation challengesOver 100 TensorFlow C++ code examples you can run, adapt, and scaleVisual infographics make concepts click instantlyCase studies show you how it all works in the real worldWhether you're a C++ developer new to AI, or an ML engineer ready to push beyond Python, this book gives you the tools-and the challenge-to build production-grade machine learning systems.Get ready to learn fast. Then build faster. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798289310026

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