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✓Save more than 500 € and get ML Intro Day for free
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✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
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Register until November 7th:
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Description
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 .
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 .