We are excited to announce the release of TFLite in GMSCore is generally available (GA)! Thomas Ezan, an Android ML Developer Relations Engineer, shares how to implement the Interpreter API. Find out how the Android ML team is dedicated to make TensorFlow Lite on Android the ideal platform to deploy on-device Machine Learning.
Google Play Services Tasks → https://goo.gle/3IlOhZ4
Early access APIs → https://goo.gle/3K7BWsz
TensorFlow Lite documentation → https://goo.gle/3E7Iow8
Report bugs and feedback → https://goo.gle/3Yv1Fjd
Subscribe to Android Developers → https://goo.gle/AndroidDevs
#Featured #Android #TensorFlow
Google Play Services Tasks → https://goo.gle/3IlOhZ4
Early access APIs → https://goo.gle/3K7BWsz
TensorFlow Lite documentation → https://goo.gle/3E7Iow8
Report bugs and feedback → https://goo.gle/3Yv1Fjd
Subscribe to Android Developers → https://goo.gle/AndroidDevs
#Featured #Android #TensorFlow
- Category
- Software
- Tags
- how to implement the interpreter API, android ML, TensorFlow Lite
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