Machine Learning on Your Device - The Options

Explore the various options for implementing machine learning on mobile apps and edge devices in this 39-minute Google I/O'19 conference talk. Gain clarity on how to leverage TensorFlow for model training and deployment across different devices using TensorFlow Lite. Learn about the process of building and saving models, and see practical demonstrations including a Kotlin demo. Discover how to enhance your mobile applications with machine learning capabilities, demystifying the available choices and providing insights into MLKit and TensorFlow Lite Runtime. Follow along with speakers Laurence Moroney and Daniel Situnayake as they guide you through the journey from getting started to putting machine learning into action on your devices.

Intro
Agenda
Overview
Tensorflow
How to get started
Building a model
Saving a model
Code
In Action
The Options
MLKit
TensorFlow Lite Runtime
Kotlin Demo
Summary
Demo