Hands-On Machine Learning with C++ Build, train, and deploy end-to-end machine learning and deep learning pipelines
English | 2020 | ISBN: 978-1789955330 | 530 Pages | True (PDF, EPUB, MOBI) + Code| 109.46 MB

Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets Key Features Become familiar with data processing, performance measuring, and model selection using various C++ libraries Implement practical machine learning and deep learning techniques to build smart models Deploy machine learning models to work on mobile and embedded devices Book DescriptionC++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML),