{"product_id":"practical-c-machine-learning-hands-on-strategies-for-developing-simple-machine-learning-models-using-c-data-structures-and-libraries-paperback","title":"Practical C++ Machine Learning: Hands-on strategies for developing simple machine learning models using C++ data structures and libraries - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAnais Sutherland\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003ePractical C++ Machine Learning introduces C++ programmers to the world of machine learning. If you know C++ but haven't worked with machine learning solutions before, this book is a good place to start learning the basics and experimenting with the language's essential concepts and techniques.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book starts off by showing you how to set up a development environment and put together some basic neural networks using the Flashlight library. It then covers essential tasks like data preprocessing, model training, and evaluation, with practical examples that show how machine learning works in a C++ context. You will also learn strategies for dealing with common problems like overfitting and performance optimization. The next few chapters get into more complex topics like convolutional neural networks, model deployment, and some key performance tuning techniques. This will help you develop and integrate your own models into applications.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBy the end of the book, you will have essential hands-on experience and a better clarity to explore and expand your machine learning knowledge in C++. This book doesn't aim to cover everything, but it does serve as a good starting point for you to confidently dive into the world of machine learning and deep learning.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eKey Learnings\u003cul\u003e\n\u003cli\u003eUse Flashlight to set up a C++ environment for machine learning projects.\u003c\/li\u003e\n\u003cli\u003eImplement neural networks from scratch to gain a hands-on understanding.\u003c\/li\u003e\n\u003cli\u003ePreprocess and augment data effectively to improve model performance.\u003c\/li\u003e\n\u003cli\u003eTrain and evaluate models using appropriate loss functions and metrics.\u003c\/li\u003e\n\u003cli\u003eExplore overfitting challenges with techniques like regularization and dropout.\u003c\/li\u003e\n\u003cli\u003eBuild advanced architectures like ResNet.\u003c\/li\u003e\n\u003cli\u003eApply transfer learning to leverage pre-trained models.\u003c\/li\u003e\n\u003cli\u003eDeploy models and integrate them into real-world C++ apps.\u003c\/li\u003e\n\u003cli\u003eImplement real-time inference with optimized performance.\u003c\/li\u003e\n\u003cli\u003eImprove performance using GPU acceleration and multi-threading techniques.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003eTable of Content\u003col\u003e\n\u003cli\u003eGetting Started with C++ Machine Learning\u003c\/li\u003e\n\u003cli\u003eData Handling and Preprocessing\u003c\/li\u003e\n\u003cli\u003eBuilding a Simple Neural Network\u003c\/li\u003e\n\u003cli\u003eTraining Deep Neural Networks\u003c\/li\u003e\n\u003cli\u003eConvolutional Neural Networks\u003c\/li\u003e\n\u003cli\u003eImproving Model Performance\u003c\/li\u003e\n\u003cli\u003eAdvanced Neural Network Architectures\u003c\/li\u003e\n\u003cli\u003eDeployment and Integration\u003c\/li\u003e\n\u003cli\u003eParallelism and Performance Scaling\u003c\/li\u003e\n\u003c\/ol\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 176\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.38 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 08, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52495140749619,"sku":"9788197950483","price":82.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/xc4ZK2K_ei9788197950483.webp?v=1760000040","url":"https:\/\/www.vysn.com\/en-ca\/products\/practical-c-machine-learning-hands-on-strategies-for-developing-simple-machine-learning-models-using-c-data-structures-and-libraries-paperback","provider":"VYSN","version":"1.0","type":"link"}