In my recent review of TensorFlow, I described the library and discussed its advantages, but only had about 300 words to devote to how to begin using Google’s “secret sauce” for machine ...

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”?

Note: As of TensorFlow 2.x, Keras is basically part of TensorFlow. Note 2: Due to current global circumstances, the overall hiring of any software developer role is down. Image Source.

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.

TensorFlow is an open-source collection of tools and libraries that helps developers build and train deep learning models. It has become one of the most widely used software frameworks since it ...

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

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.

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