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Speaker "Kaz Sato" Details Back

 

Topic

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

Abstract

TensorFlow Lite is TensorFlow’s lightweight solution for Android, iOS and embedded devices. It 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. In this session, we will discuss how developers can use TensorFlow Lite to overcome the challenges for bringing the latest AI technology to production mobile apps and embeded systems.

Profile

Kaz Sato is Staff Developer Advocate at Cloud Platform team, Google Inc. He leads the developer advocacy team for Machine Learning and Data Analytics products, such as TensorFlow, Vision API and BigQuery, and speaking at major events including Strata+Hadoop World 2016 San Jose, Google Next 2015 NYC and Tel Aviv and DevFest Berlin. Kaz also has been leading and supporting developer communities for Google Cloud for over 7 years. He is also interested in hardwares and IoT, and has been hosting FPGA meetups since 2013.