With TensorFlow and other open source projects like it, teams can acquire new skills to successfully deploy machine learning by iterating and experimenting.

TensorFlow underlies many Google services. The TensorFlow 2.0 website describes the project as an “end-to-end open source machine learning platform.” ...

Dave Burke, VP of engineering at Google, announced a new version of Tensorflow optimised for mobile phones. This new library, called Tensorflow Lite, would enable developers to run their ...

Github's top open source projects for 2018 include Tensorflow, IT automation tool Ansible and Kubernetes with the fastest growth in areas such as machine learning, 3D printing and data analysis ...

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.

Google last week open sourced TensorFlow, a new machine learning library used in deep learning projects. Even though the Web giant has just started using the software in its products, it apparently ...

The Lite framework will be made a part of the open source TensorFlow project soon, and the neural network API will come to the next major release of Android later this year.

Google AI Platform is one of the most comprehensive offerings in the public cloud to train, tune and deploy machine learning models.

TensorFlow also divorces Google's machine learning workflow from its monolithic company codebase, meaning that it's now possible for outsiders to meaningfully contribute to the project.