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OverviewTired of wrestling with Python prototypes that fall short in production? Ever wondered how to harness PyTorch's power in C++ for real-time, high-performance AI? PyTorch for C and C++ Developers: Professional Machine Learning Solutions shows you how to take Python-style deep learning into the realm of native code. You'll set up LibTorch, master tensors and data pipelines, build and train custom neural networks, and deploy rock-solid inference services-all with clear, runnable examples and expert tips. What Sets This Book Apart? This isn't a shallow overview. Each chapter delivers hands-on guidance and insights you can apply immediately: Chapter 1 - Getting Started with PyTorch C++ (LibTorch): Install LibTorch, configure CMake, and verify your environment for seamless development. Chapter 2 - PyTorch Tensors and Data Operations in C++: Create, manipulate, and batch data with efficient tensor code. Chapter 3 - Building Neural Networks with PyTorch C++ API: Define custom modules, implement feedforward, CNN, and RNN architectures, and manage parameters. Chapter 4 - Training Workflows and Optimization: Write professional training loops, track validation metrics, and integrate callbacks for logging and checkpoints. Chapter 5 - Saving, Loading, and Deploying Models: Script, serialize, and serve your models-including loading Python-trained TorchScript modules in C++. Chapter 6 - Advanced Topics and Best Practices: Leverage CUDA, multithreading, memory-management tricks, and profiling to squeeze out every drop of performance. Chapter 7 - Real-World Projects and Integrations: Power computer vision, NLP pipelines, Qt/OpenCV GUIs, and RESTful AI APIs with complete C++ examples. Chapter 8 - Production-Ready AI with PyTorch C++: Automate builds, monitor model health, secure your service, and scale on Kubernetes. You'll gain the confidence to write production-grade C++ code, achieve millisecond-level inference, and maintain robust CI/CD pipelines. Call-to-Action Ready to move beyond prototypes and build AI systems that run at native speed? Get your copy today and start writing the next generation of high-performance, professional-grade machine learning applications in C++! Full Product DetailsAuthor: Timothy KertzmannPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 17.80cm , Height: 0.70cm , Length: 25.40cm Weight: 0.240kg ISBN: 9798290274058Pages: 132 Publication Date: 30 June 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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