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 →
Early access APIs →
TensorFlow Lite documentation →
Report bugs and feedback →
Subscribe to Android Developers →
#Featured #Android #TensorFlow
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Nice! Where to find the docs 'bout TFlow Lite in KT?
I don't understand why Google APIs still use `Tasks` when Kotlin already has CoRoutines. It's so bad to have 2 different asynchronous APIs in the same code
what are the commands to activate usb debugging and oem unlocking by fastboot mode by platforms tools cmd of a cell phone that gave habrick and does not turn on?
Task is really a nightmare to use, it adds view as dependency on your app…
Awesome