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

Google's open-source TensorFlow project has an exceedingly wide range of potential use cases, and startup Connectera has seized upon a particularly unique ...

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

Google has announced the release of TensorFlow Serving, a flexible, high-performance and open-source serving system for machine-learning models. The solution was designed for production ...

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 ...

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

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 ...

Known for its ease of use, robustness, and extensive community support, Ubuntu pairs seamlessly with TensorFlow, providing a reliable environment for ML projects.

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.