SKU/Artículo: AMZ-B0G1LSCMST

Applied Deep Learning and Edge AI with C++ : Building Intelligent Systems for Vision, NLP, and Embedded Platforms (Machine Learning with Modern C++ Series Book 3)

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0.79 kg

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Volume III – Applied Deep Learning and Edge AI with C++ Building Intelligent Systems for Vision, NLP, and Embedded PlatformsBring deep learning out of the cloud and into the real world. This volume is a hands-on guide to designing, optimizing, and deploying AI models on edge devices, embedded systems, and latency-critical environments.You’ll learn how to implement high-performance computer vision, natural language processing, and reinforcement learning pipelines using C++ and leading deployment frameworks—TensorRT, OpenVINO, CoreML, and ONNX Runtime. The book walks you through practical strategies for model quantization, hardware acceleration, memory optimization, and real-time inference on CPUs, GPUs, VPUs, and specialized accelerators.Through detailed case studies in autonomous systems, robotics, IoT, smart cameras, and embedded AI, you’ll gain the skills to build intelligent systems that are both computationally efficient and production-ready.Keywords: edge AI with C++, embedded machine learning, ONNX Runtime, TensorRT, computer vision, NLP, reinforcement learning, robotics, IoT, model quantization, hardware acceleration, real-time inference, edge deployment, optimized C++ AI.

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Applied Deep Learning and Edge AI with C++ : Building Intelligent Systems for Vision, NLP, and Embedded Platforms (Machine Learning with Modern C++ Series Book 3)

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