Google I/O 2019 | Machine Learning on Your Device: The Options

Developers have an often confusing plethora of options available to them in using machine learning to enhance their mobile apps and edge devices. This session will demystify these options, showing you how TensorFlow can be used to train models and how you can use these models across a variety of devices with TensorFlow Lite.

Speakers: Laurence Moroney, Daniel Situnayake

Session ID: T6D370

Citi I/O

Aster.Cloud

DotLAH!

Previous Google I/O 2019 | Live Coding A Machine Learning Model from Scratch
Next AI Governance: A Holistic Approach To Implement Ethics Into AI