Machine Learning with C++ and TensorFlow: Build Fast, Reliable AI Systems from Code to Deployment

Build Fast, Reliable AI Systems from Code to Deployment

Looking to master machine learning in C++-without getting lost in theory?

This book makes advanced AI approachable. It explains every concept in clear, plain language-while providing serious technical depth through rigorous exercises, real-world projects, and expert-level code samples. You'll gain the clarity of a beginner-friendly guide with the challenge of a professional-grade resource.

Inside, You'll Learn How To:

• Build machine learning models using TensorFlow's powerful C++ API

• Implement core algorithms: regression, trees, neural networks, reinforcement learning

• Work with real data in computer vision, natural language processing, and time series

• Optimize models for speed, memory, and deployment on edge devices

• Deploy full ML pipelines into production with C++ and TensorFlow

What Makes This Book Different:

• Easy to read: complex ideas broken down step-by-step

• Hard to master: advanced exercises and deep implementation challenges

• Over 100 TensorFlow C++ code examples you can run, adapt, and scale

• Visual infographics make concepts click instantly

• Case studies show you how it all works in the real world

Whether you're a C++ developer new to AI, or an ML engineer ready to push beyond Python, this book gives you the tools-and the challenge-to build production-grade machine learning systems.

Get ready to learn fast. Then build faster.