Neural Networks Demystified: Data and Architecture

HN commenters point beginners to this series as one of the clearest short walkthroughs of how neural networks and backpropagation work.

The first of a short series by Welch Labs on building a complete neural network in Python. It introduces the data and the architecture of a simple network before later parts cover forward propagation, gradient descent, and backpropagation.