SKU/Artículo: AMZ-B0FG7N9MVB
PyTorch for C and C++ Developers: Professional Machine Learning Solutions
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.24 kg
0.24 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Tired 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++!
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AR$76.864
60% OFF
AR$30.746
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