TensorFlow Lite is available on Android and iOS via a C++ API and a Java wrapper for Android developers. ... you will need to add the following dependency to your build.gradle file: ...

Android Studio 4.1: easier to add on-device TensorFlow Lite models, run Android Emulator directly, more foldable form factors, and Database Inspector.

TensorFlow Lite, Burke said, is part of the company’s plan to help Android developers “make your phone smarter, and we want to help you build experiences right down to your cell phone.” ...

TensorFlow Lite supports hardware acceleration with the Android Neural Networks API. It also has support for different models such as MobileNet , Inception v3, and Smart Reply. On-Device ...

While discussing the future of Android at Google I/O, Dave Burke, a VP of engineering, announced a new version of TensorFlow optimized for mobile called TensorFlow lite. The new library will allow ...

Also new is improved support for TensorFlow Lite models in Android Studio, so that developers can bring those models to their apps, as well as a new database inspector that helps developers get ...

One of the many announcements from I/O 2017 was TensorFlow Lite for machine learning on mobile devices. Starting today, the Android and iOS optimized version of the ML library is now available as ...

TensorFlow Lite architecture. Google has just released a new solution, the developer preview of TensofFlow Lite for iOS and Android and announced plans to support Raspberry Pi 3.

The search giant designed TensorFlow Lite as a lightweight machine learning solution for. X. Dark Light Light. ... Android OS Version 4.0 Ice Cream Sandwich; Android OS Version 4.1 Jelly Bean ...