Intro to On-device Machine Learning (TF Fall 2020 Updates)




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In this session, Developer Advocate Khanh LeViet (@khanhlvg) talks about TensorFlow Lite, the framework that brings ML to mobile and embedded systems. You’ll learn about the differences between ML on a supercomputer and ML on a portable device, and the tools and technologies that Google has developed to allow you to bring your work to mobile devices without reinventing the wheel. We’ll cover the basics and also special subjects like TinyML and model optimization and quantization.

Learn more about TensorFlow Lite → https://goo.gle/2Wk5MPM
TensorFlow Lite example apps → https://goo.gle/3byxWNf
TensorFlow Lite for Microcontrollers → https://goo.gle/2yiYyUl
Robotic vacuum cleaner powered by TF → https://goo.gle/36MmhtI

Check out more TF Fall 2020 updates → https://goo.gle/tf-fall-updates
Subscribe to TensorFlow → https://goo.gle/TensorFlow

#tensorflowupdates

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Comment List

  • TensorFlow
    November 24, 2020

    On device machine learning is super❤️🔥

  • TensorFlow
    November 24, 2020

    On device machine learning is super❤️🔥

  • TensorFlow
    November 24, 2020

    Great Video, always wondered how to deploy my models into a real device. Excited for the next video.

  • TensorFlow
    November 24, 2020

    Thank you!

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