You don't have to resort to writing C++ to work with popular machine learning libraries such as Microsoft's CNTK and Google's TensorFlow. Instead, we'll use some Python and NumPy to tackle the task of ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.

For example, TensorFlow supports Nvidia CUDA cards only. But you can still use the GPU for your own custom neural network code. Various links are in the comments for that too.

XOR is (or should be) a piece of cake for that neural net.<BR><BR>The problem might not be in learning rate, etc, but perhaps in your transfer function, or maybe you have a bug in your back ...

Google open-sources ‘TensorFlow’ machine learning system, offering its neural network to outside developers by James Risley on November 9, 2015 at 10:15 am ...

Google's DeepMind announced today that it was open sourcing Sonnet, its object-oriented neural network library. Sonnet doesn't replace TensorFlow, it's simply a higher-level library that meshes ...