
Sách AI and Machine Learning for On-Device Development A Programmers Guide (sách keo gáy, bìa mềm)
Categories:Computers - Computer Science
Year:2021
Edition:1
Language:english
Pages:329
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