The Conference for Machine Learning Innovation

Machine Learning on the Edge using TensorFlow Lite

Session
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Join the ML Revolution!
Register until March 11:
✓Save more than 500 € and get ML Intro Day for free
✓ Workshop day for free
✓10 % Team Discount
Register Now
Join the ML Revolution!
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Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
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Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now

What if you could perform machine learning on the edge, i.e on your mobile device? This would mean that you would no longer need the round trip to the server, no data will leave the device and you don’t even need an internet connection. In this session you will get an introduction to TensorFlow Lite so that you can use it in your own projects.

In this presentation I will demonstrate how you can take a pre-trained model for image classification and convert it to TensorFlow Lite format. Then I will go through how to deploy to model to the device and finally talk a little bit about optimization options in order to reduce the model size.

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

This Session Diese Session belongs to the gehört zum Programm von MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

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