At Google’s inaugural TensorFlow Dev Summit in Mountain View, California, today, Google announced the release of version 1.0 of its TensorFlow open source framework for deep learning, a trendy ...

Google open-sourced its TensorFlow machine learning framework back in 2015 and it quickly became one of the most popular platforms of its kind. To help these companies -- and capture some of this ...

With this week's release of TensorFlow 1.0, Google has pushed the frontiers of machine learning further in a number of directions.

It’s fair to compare TensorFlow to Android, Google’s mobile operating system, which it has allowed smartphone and tablet developers to use in their own products.

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 ...

At the 2019 TensorFlow Dev Summit today, Google announced a number of updates for its open-source machine learning library aimed at research and production. The TensorFlow 2.0 alpha provides a ...

The TensorFlow Quantum workflow (Source: Google) TFQ contains the basic structures, like qubits, gates, circuits, and measurement operators, that are required for specifying quantum computation, the ...

TensorFlow was developed by researchers on the Google Brain Team. The software is used for machine learning and 'deep neural networks' that are can make searching more intuitive.

The new Google TensorFlow Lite will soon make Android systems smarter. Users can now expect AI-enhanced features.

Google open-sourced its TensorFlow machine learning framework back in 2015 and it quickly became one of the most popular platforms of its kind.