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Anotácia knihy

Volume II - Advanced Deep Learning with Modern C++
Architecting, Training, and Deploying Neural Systems with PyTorch C++, Flashlight, and ONNX

Master the cutting edge of high-performance deep learning engineering with Modern C++. This advanced volume takes you far beyond Python workflows, showing you how to design, optimize, and deploy neural systems directly in C++ using PyTorch's C++ API, Facebook's Flashlight framework, and ONNX Runtime.

From classic architectures like CNNs and RNNs to state-of-the-art Transformers, you'll learn how to implement, train, and fine-tune models with full control over memory, performance, and execution. The book explores mixed-precision training, model quantization, distributed training strategies, and advanced optimization techniques tailored for production-grade systems.

You'll also build complete inference pipelines, mastering ONNX export, runtime integration, CUDA acceleration, cuDNN optimizations, and TensorRT deployment for real-time, low-latency applications. Every chapter is designed to help experienced developers engineer deep learning systems that are fast, scalable, and production ready.

Keywords: deep learning with C++, PyTorch C++ frontend, neural network engineering, ONNX Runtime, Flashlight AI, CUDA optimization, Transformer models, CNNs, RNNs, model quantization, TensorRT deployment, GPU computing, high-performance AI systems.

Parametre knihy

• Celý názov: Advanced Deep Learning with Modern C++
• Podnázov: Architecting, Training, and Deploying Neural Systems Using PyTorch C++, Flashlight, and ONNX
• Autor: Min Jae-Lin
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 208
• EAN: 9798273859401
• ID: 50600027
• Nakladateľ: Independently published
• Hmotnosť: 371 g
• Rozmery: 254 × 178 × 11 mm
• Dátum vydania: 10. November 2025

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