SiliconANGLE

Google debuts TensorFlow Lite to enable machine learning on mobile devices

Google LLC is launching a lightweight version of its open-source TensorFlow machine learning library for mobile platforms. Announced at Google’s I/O developer conference in May, TensorFlow Lite is now ...
SiliconANGLE

Google debuts TensorFlow Lite Model Maker for on-device machine learning

Google LLC today announced a new tool called TensorFlow Lite Model Maker, which uses a technique known as transfer learning to adapt machine learning models to custom data sets. TensorFlow Lite is a ...
VentureBeat

Android to launch TensorFlow Lite for mobile machine learning

Android app developers will soon have a specialized version of TensorFlow to work with on mobile devices. TensorFlow Lite, which will be part of the TensorFlow open source project, will let developers ...
Hackaday

TensorFlow Lite – On A Commodore 64

TensorFlow is a machine learning and AI library that has enabled so much and brought AI within the reach of most developers. But it’s fair to say that it’s not for the less powerful computers. For ...
Hackaday

Smarter Phones In Your Hacks With TensorFlow Lite

One way to run a compute-intensive neural network on a hack has been to put a decent laptop onboard. But wouldn’t it be great if you could go smaller and cheaper by using a phone instead? If your ...
VentureBeat

Google’s TensorFlow Lite Model Maker adapts state-of-the-art models for on-device AI

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Google today announced TensorFlow Lite ...
9to5google

Google renames TensorFlow Lite to LiteRT, TensorFlow brand remains

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 its ...
Electronics Weekly

Google rebrands TensorFlow Lite to LiteRT

Google is rebranding TensorFlow Lite to LiteRT (as in “lite runtime”). This lets you deploy ML and AI models on Android, iOS, and embedded devices. Basically, for on-device AI at the Edge. Google ...