TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

Another statistic of note, from the TensorFlow r1.0 release in February 2017, is that people were using TensorFlow in more than 6,000 open source repositories online.

At the 2019 TensorFlow Dev Summit , Google announced a number of updates for the open-source ML library. The TensorFlow 2.0 alpha provides a preview ...

At a presentation during Google I/O 2019, Google announced TensorFlow Graphics, a library for building deep neural networks for unsupervised learning tasks in computer vision. The library contains 3D ...

The TensorFlow machine learning framework that Google Inc. released under an Apache open-source license in late 2015 just gained an important endorsement: IBM Corp. said today that it will support Te ...

Google today launched TensorFlow Quantum (TFQ), an open-source library for prototyping quantum machine learning models. Quantum computers aren’t quite mainstream yet, but when they arrive they ...

The machine learning community has coalesced around Google’s TensorFlow library. Interestingly, one major holdout was DeepMind, which did most of its research on the Torch7 library. Then, late ...

Google AI today released TensorFlow Constrained Optimization (), a supervised machine learning library built for training machine learning models on multiple metrics and “optimizing inequality ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.