Image Credits: Google 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 ...

Another key improvement in Android Studio 4.1 is support for TensorFlow Lite models. Google wrote in a blog post, "Android developers are using machine learning to create innovative and helpful ...

TensorFlow Lite allows developers to integrate machine running algorithms on-device. Android Studio 4.1 makes it easier to import these models directly. Android Studio will generate classes that ...

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.” ...

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 ...

TensorFlow Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown ...

In addition, TensorFlow Lite supports the Android Neural Networks API, Java APIs and C++ APIs. According to Google, developers should look at TensorFlow lite as an evolution of the TensorFlow ...

The model will then be converted to a format that could be used in Android applications using the TensorFlow Lite converter. This converter is optimized for mobile devices, which should improve ...

such as iOS or Android systems. The TensorFlow Lite toolset optimizes TensorFlow models to run well on such devices, by letting you choose tradeoffs between model size and accuracy. A smaller ...