Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning!

A new idea called the “information bottleneck” is helping to explain the puzzling success of today’s artificial-intelligence algorithms—and might also explain how human brains learn.

The demo Python program uses back-propagation to create a simple neural network model that can predict the species of an iris flower using the famous Iris Dataset.

While deep neural networks are all the rage, the complexity of the major frameworks has been a barrier to their use for developers new to machine learning. There have been several proposals for ...

Microsoft is adding Python language support to its open source deep learning toolkit for developers. The kit, formerly known as Computational Network Toolkit (CNTK) and now called Microsoft ...