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TensorFlow Lite: how to Accelerate your Android and iOS App with AI

Kaz Sato | GOTO Copenhagen 2018

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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 embedded systems.

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Transcript

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 embedded systems.

About the speakers

Kaz Sato

Kaz Sato

Staff Developer Advocate, Google Cloud