Android development is not limited to cute little apps that split the bill in restaurants (that seems to be everyone’s “genius app idea,” or is it just me?). Android is a powerful platform with ...
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, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep 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 ...
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 ...
Google’s recent preview release of its open-source TensorFlow Lite software for machine learning developers signifies an exciting shift in the field of AI. The company’s dedication to developing AI ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback