I strongly recommend using the Anaconda distribution of Python, which has all the packages you need to run Keras with TensorFlow. In this article I address installation on a Windows 10 machine.

The TensorFlow.js Node.js environment supports using an installed build of Python/C TensorFlow as a back end, which may in turn use the machine’s available hardware acceleration, for example CUDA.

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.

If you want to explore machine learning, you can now write applications that train and deploy TensorFlow in your browser using JavaScript. We know what you are thinking. That has to be slow. Surpri… ...

Keras or TensorFlow? This breakdown shows their differences, use cases, and when to choose each. ... Biologists say a giant python’s death is a positive sign for Everglades’ ecosystem.