Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.

That library, TensorFlow, was developed by the Google Brain team over the past several years and released to open source in November 2015. TensorFlow does computation using data flow graphs.

TensorFlow data flow graphs TensorFlow supports machine learning, neural networks, and deep learning in the larger context of data flow graphs.

Graphs: TensorFlow provides a graphical means of guiding the flow of data through a machine learning application with a dataflow graph.

“TensorFlow is a machine learning library that’s used across Google for applying deep learning to a lot of different areas,” says Rajat Mongo, a technical lead on the TensorFlow project, in a YouTube ...

The search function in Google Photos uses TensorFlow. Tim Stenovec/Business Insider Google made waves Monday when it made its new artificial intelligence system TensorFlow open source.