After reading this article you should have a solid grasp of neural network fundamentals, as well as knowledge of Python and NumPy techniques that would be useful when working with CNTK or Tensorflow.

Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks ... of the success of TensorFlow. If you are adept at Python and remember your ...

TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. TensorFlow.NET is a library that provides a .NET Standard binding for TensorFlow ...

CDNN2 builds on the successful foundations of CEVA's first generation neural network software framework (CDNN), which is already in design with multiple customers and partners. It adds support for ...

The neural network has helped Google understand the ... Google announced today. Called TensorFlow, the new system includes an open source library and a set of tools, tutorials, and examples ...

In this article I'll explain how to implement a simple feed-forward neural network from scratch, using just Python 3.x and NumPy. After reading this article you should have a solid grasp of neural ...