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.

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

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

I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now… ...

What is the TensorFlow Developer Certification? The TensorFlow Developer Certification, as you might’ve guessed, is a way to showcase your ability to use TensorFlow.

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 focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs, and flexible model building on any platform.

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

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.