Book description
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.
Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.
- Explore the options for implementing ML and AI on mobile devices
- Create ML models for iOS and Android
- Write ML Kit and TensorFlow Lite apps for iOS and Android, and Core ML/Create ML apps for iOS
- Choose the best techniques and tools for your use case, such as cloud-based versus on-device inference and high-level versus low-level APIs
- Learn privacy and ethics best practices for ML on devices
Table of contents
- Preface
- 1. Introduction to AI and Machine Learning
- 2. Introduction to Computer Vision
- 3. Introduction to ML Kit
- 4. Computer Vision Apps with ML Kit on Android
- 5. Text Processing Apps with ML Kit on Android
- 6. Computer Vision Apps with ML Kit on iOS
- 7. Text Processing Apps with ML Kit on iOS
- 8. Going Deeper: Understanding TensorFlow Lite
- 9. Creating Custom Models
- 10. Using Custom Models in Android
- 11. Using Custom Models in iOS
- 12. Productizing Your App Using Firebase
- 13. Create ML and Core ML for Simple iOS Apps
- 14. Accessing Cloud-Based Models from Mobile Apps
- 15. Ethics, Fairness, and Privacy for Mobile Apps
- Index
Product information
- Title: AI and Machine Learning for On-Device Development
- Author(s):
- Release date: August 2021
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781098101749
You might also like
video
Python Fundamentals
51+ hours of video instruction. Overview The professional programmer’s Deitel® video guide to Python development with …
book
Clean Code: A Handbook of Agile Software Craftsmanship
Even bad code can function. But if code isn't clean, it can bring a development organization …
book
40 Algorithms Every Programmer Should Know
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental …
book
Building Microservices, 2nd Edition
Distributed systems have become more fine-grained as organizations shift from code-heavy monolithic applications to smaller, self-contained …