ML Guides | Fritz AI

ML Guides

Deep dives into the fundamentals of machine learning, with mobile-specific insights.
 
Image Segmentation Guide

Image segmentation: How it works, use cases, and [almost] everything else you need to know.

Pose Estimation Guide

Pose estimation: How it works, use cases, and [almost] everything else you need to know.

Style Transfer Guide

Style transfer: How it works, use cases, and [almost] everything else you need to know.

Object Detection Guide

Object detection: How it works, use cases, and [almost] everything else you need to know.

Image Recognition Guide

Image recognition: How it works, use cases, and [almost] everything else you need to know.

Machine Learning Glossary

Key concepts of mobile machine learning explained.

The Benefits of On-Device ML

Mobile machine learning is uniquely positioned to deliver benefits that both consumers and businesses desire and need from machine learning.

AI Hardware for Mobile ML

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.