Google's TensorFlow team makes it a whole lot easier to get AI up and running on a Raspberry Pi.

Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.

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.

The principal language for using TensorFlow is Python, although there is limited support for C++. The tutorials supplied with TensorFlow include applications for handwritten digit classification ...

What Is TensorFlow? To quote the TensorFlow website, TensorFlow is an “open source software library for numerical computation using data flow graphs”. What do we mean by “data flow graphs”?

According to IBM, TensorFlow has become popular among enterprises looking to use deep learning frameworks. By offering PowerAI support, enterprises will have more options to use TensorFlow.

To help with that, [Edje Electronics] has put together a step-by-step guide to using TensorFlow to retrain Google’s Inception object recognizer.

Here's your chance to use TensorFlow with JavaScript. Train a neural network to predict the rise and fall of Bitcoin prices.

TensorFlow 2.0 fires up AI models much faster than previous versions, which lets engineers try out different model variations with shorter delays between test runs.

TensorFlow Lite 1.0 for lightweight machine learning on mobile and IoT devices made its debut today with a number of improvements and shared a dev roadmap.