Most of these examples are maintained by Googlers. But of all the maintainers are experts in Android. The quality and readability are not good enough. This repository's target is to recreate these ...

Developers can use TensorFlow Lite to easily add complex machine learning capabilities to their apps. Here is how. TensorFlow Lite on Andriod for beginners - Android Authority ...

TensorFlow Lite is better as: TensorFlow Lite enables on-device machine learning inference with low latency. Hence, it is fast. TensorFlow Lite takes small binary size. Hence, good for mobile devices.

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 beyond ...

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 ...

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 ...