While machine learning theories can be complicated with lots of data and complicated formats, real-world implementation isn't as scary as it used to be. Machine learning frameworks like TensorFlow ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google today announced the preview launch of TensorBoard.dev for sharing ...

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 ...

Google made an announcement Monday that will send ripples throughout the technology industry for years to come—even if it sounds like gobbledygook to the average person. The company said in a blog ...

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 preview ...

With TensorFlow, researchers can "try out their crazy ideas" with software that's also being used at Google. That's no longer the case, though, thanks in part to TensorFlow, a new machine-learning ...

In this photo illustration, The Google logo is projected onto a man on August 09, 2017 in London, England. by Leon Neal/Getty Images This new machine learning framework designed by Google Brain Team ...

Google on Wednesday announced a series of announcements related to TensorFlow, the open-source machine learning library that's already been downloaded more than 41 million times. To make it even more ...

The worlds of quantum computing and machine learning are coming together with TensorFlow Quantum (TFQ), a new library unveiled today by Google. Google has been one of the leaders in the emerging field ...

According to its site, TensorFlow is an open source software library for numerical computation using data flow graphs. For a layman, TensorFlow can be considered as a system that takes heterogeneous ...

It wasn't that long ago that building and training neural networks was strictly for seasoned computer scientists and grad students. That began to change with the release of a number of open-source ...