October 28–31, 2019
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TensorFlow Lite: ML for mobile and IoT devices

Jared Duke (Google), Sarah Sirajuddin (Google)
9:40am9:55am Thursday, October 31, 2019
Location: Mission City Ballroom
Average rating: *****
(5.00, 1 rating)

TensorFlow Lite makes it really easy to execute machine learning on mobile phones and microcontrollers. Jared Duke and Sarah Sirajuddin explore on-device ML and the latest updates to TensorFlow Lite, including model conversion, optimization, hardware acceleration, and a ready-to-use model gallery. They also showcase demos and production use cases for TensorFlow Lite on phones and microcontrollers.

Photo of Jared Duke

Jared Duke


Jared Duke is a software engineer on the Google Brain team leading performance efforts for TensorFlow Lite. Previously, he worked to improve mobile VR for Daydream and mobile web browsing for Chrome at Google.

Photo of Sarah Sirajuddin

Sarah Sirajuddin


Sarah Sirajuddin is an engineering director working on TensorFlow at Google. She leads the teams working on on-device machine learning, TensorFlow Extended, and efforts around training models for the best accuracy and performance with Google’s cutting-edge infrastructure, including TensorFlow and tensor processing units (TPUs).

  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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