Source: channelasia.tech Google’s Android Studio IDE team has released the stable version of Android Studio 4.1, featuring machine learning improvements and a database inspector. With the 4.1 release, Android Studio improves on-device machine learning support via backing for TensorFlow Lite models in Android projects. Android Studio generates classes so models can be run with better type safety and less Read More
Category: TensorFlow
Source: sdtimes.com Google has announced a new TensorFlow runtime designed to make it easier to build and deploy machine learning models across many different devices. The company explained that ML ecosystems are vastly different than they were 4 or 5 years ago. Today, innovation in ML has led to more complex models and deployment scenarios Read More
Source: analyticsindiamag.com Google has launched TensorFlow RunTime (TFRT), which is a new runtime for its TensorFlow machine learning framework. According to a recent blog post by Eric Johnson, TFRT Product Manager and Mingsheng Hong, TFRT Tech Lead/Manager, “TensorFlow RunTime aims to provide a unified, extensible infrastructure layer with best-in-class performance across a wide variety of domain-specific hardware. Read More
Source: sg.channelasia.tech Google has announced TensorFlow Lite Model Maker, a tool for converting an existing TensorFlow model to the TensorFlow Lite format used to serve predictions on lightweight hardware such as mobile devices. TensorFlow models can be quite large, and serving predictions remotely from beefy hardware capable of handling them isn’t always possible. Google created the TensorFlow Lite Read More