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 ...

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 ...

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 ...

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 ...

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

In this video, we will understand what is Keras and Tensorflow. Tensorflow is a free and open-source library for machine ...

Google (the real Google, within Alphabet) has announced a new, open-source machine learning platform called TensorFlow, one which could greatly accelerate the pace at which neural networks are ...