You can use existing models, convert Python TensorFlow models, use transfer learning to retrain existing models with your own data, and develop models from scratch.

Posted: July 23, 2025 | Last updated: July 23, 2025 Still not sure why TensorFlow is everywhere? Learn what makes it a top choice for AI projects.

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

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

When the time comes to add an object recognizer to your hack, all you need do is choose from many of the available ones and retrain it for your particular objects of interest. To help with that, [E… ...

Besides putting a Raspberry Pi to work on a mini Mars rover, it's now going to be a lot easier to use Google's TensorFlow artificial-intelligence framework with the low-powered computer ...

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”?

By making TensorFlow open source and letting any developer use it, Google can improve the system and see other ways it can be used beyond its current applications. That means it has the potential ...