Image segmentation: How it works, use cases, and [almost] everything else you need to know.
Pose estimation: How it works, use cases, and [almost] everything else you need to know.
Style transfer: How it works, use cases, and [almost] everything else you need to know.
Object detection: How it works, use cases, and [almost] everything else you need to know.
Image recognition: How it works, use cases, and [almost] everything else you need to know.
Key concepts of mobile machine learning explained.
Mobile machine learning is uniquely positioned to deliver benefits that both consumers and businesses desire and need from machine learning.
3.7 Billion devices are capable of running on-device models. This guide explores the past, present, and future of AI-accelerated hardware for mobile machine learning.