Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

TensorFlow Lite: How to accelerate your Android and iOS app with AI

Kaz Sato (Google)
1:45pm–2:25pm Wednesday, May 2, 2018
Implementing AI, Interacting with AI, Models and Methods
 Location: Concourse A
Average rating: ****.
(4.00, 2 ratings)

Who is this presentation for?

  • Mobile developers, data engineers, and data scientists

Prerequisite knowledge

  • A basic understanding of machine learning

What you'll learn

  • Explore TensorFlow Lite, a powerful tool for building a smart, AI-powered mobile and embedded applications

Description

TensorFlow Lite—TensorFlow’s lightweight solution for Android, iOS, and embedded devices—enables on-device machine learning inference with low latency and a small binary size. TensorFlow Lite also supports hardware acceleration with the Android Neural Networks API and Apple Core ML. Kazunori Sato walks you through using TensorFlow Lite, helping you overcome the challenges to bring the latest AI technology to production mobile apps and embedded systems.

Photo of Kaz Sato

Kaz Sato

Google

Kaz Sato is a staff developer advocate on the cloud platform team at Google, where he leads the developer advocacy team for machine learning and data analytics products such as TensorFlow, the Vision API, and BigQuery. Kaz has been leading and supporting developer communities for Google Cloud for over seven years. He’s a frequent speaker at conferences, including Google I/O 2016, Hadoop Summit 2016 San Jose, Strata + Hadoop World 2016, and Google Next 2015 NYC and Tel Aviv, and he has hosted FPGA meetups since 2013.