{"product_id":"9781835880029","title":"Deep Learning with C++ : Design and deploy neural networks using CUDA for high-performance AI in C++","description":"\u003cp\u003eBuild and deploy high-performance deep learning models using C++ for real-time applications where speed and efficiency matter.\u003c\/p\u003e\n\n\u003cp\u003eKey Features\u003c\/p\u003e\n\n\u003cp\u003eImplement neural networks using the PyTorch C++ API and Caffe2\n\u003cbr\u003eOptimize and deploy deep learning models for real-time inference\n\u003cbr\u003eLearn CUDA acceleration, model compression, and monitoring best practices\n\u003cbr\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/p\u003e\n\n\u003cp\u003eBook DescriptionDeep Learning with C++ is a hands-on guide to building, optimizing, and deploying deep learning models using the power of C++. Designed for ML engineers, data scientists, and developers working in performance-critical domains, this book provides step-by-step instruction for implementing everything from basic neural networks to CNNs, RNNs, GANs, and LLMs using the PyTorch C++ API, Caffe2, and CUDA.\n\u003cbr\u003eYou will begin by setting up a C++ deep learning environment and understanding foundational neural network concepts. Then, you'll move on to building various deep learning architectures, optimizing them for speed, and deploying them with robust monitoring and explainability features. Whether you work in finance, gaming, healthcare, or embedded systems, this book equips you to deploy deep learning systems at scale.\n\u003cbr\u003eComplete with real-world case studies and advanced topics like distributed training, model compression, and explainability, this book ensures you're ready for production-ready AI systems that are fast, scalable, and efficient.What you will learn\u003c\/p\u003e\n\n\u003cp\u003eSet up and use PyTorch C++ API and Caffe2 for deep learning\n\u003cbr\u003eImplement CNNs, RNNs, LSTMs, GANs, and LLMs in C++\n\u003cbr\u003eLeverage CUDA for high-performance model training\n\u003cbr\u003eOptimize models through quantization, pruning, and compression\n\u003cbr\u003eDeploy and monitor models in production using C++ tools\n\u003cbr\u003eApply explainability techniques like LIME, SHAP, and Grad-CAM\u003c\/p\u003e\n\n\u003cp\u003eWho this book is forThis book is for ML engineers, deep learning practitioners, and data scientists with a solid C++ background who want to build high-performance deep learning models. It also serves developers transitioning from Python-based frameworks looking for real-time deployment solutions in industries like finance, autonomous systems, and healthcare.\u003c\/p\u003e","brand":"Packt Publishing Limited","offers":[{"title":"Default Title","offer_id":48871829111019,"sku":"EB_CP0800_F05-03_SIMS","price":67.99,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0758\/4484\/5803\/files\/9781835880029-1.jpg?v=1781780627","url":"https:\/\/kinokuniya.com.sg\/products\/9781835880029","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}