At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment The importance of machine learning and deep learning is no longer ...

Google enhances TensorFlow with deep learning capabilities and parallelism techniques for developer choice in machine language tooling.

Google has released TensorFlow Serving to the open-source community, a fresh addition to computer learning software for large-scale modeling projects.

We hear from Wunderman Thompson’s Cole Peterson about how the agency has come to utilize Google’s open-source TensorFlow software – and about its limitations.

TensorFlow is the most popular machine learning framework on Github Along with the release of TensorFlow 0.8, Google highlights how enthusiastic the public reaction to its software has been.

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.

Today IBM announced that its PowerAI distribution for popular open source Machine Learning and Deep Learning frameworks on the POWER8 architecture now supports the TensorFlow 0.12 framework that was ...

Google's TensorFlow team released TensorFlow Lattice today to help developers ensure that their machine learning models adhere to global trends even when training data is noisy. Lattice draws from ...

Artificial intelligence should be understandable and communicative, but machine learning platforms like TensorFlow can be very opaque.