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.

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.

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 ...

TensorFlow has since improved its support for eager execution mode, but PyTorch is still popular in the academic and research communities.

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 ...

Step-by-step coding a full deep neural network with zero libraries — just logic and Python. #NeuralNetwork #PythonCode #DeepLearning Donald Trump's remarks about Putin leave Russian state TV ...