Developers can use TensorFlow Lite to easily add complex machine learning capabilities to their apps. Here is how.

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.

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”?

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

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.

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.

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.

Ahead of the 2019 TensorFlow Dev Summit, Google is announcing a new way for third-party developers to adopt differential privacy when training machine learning models.