Case-based explanations - A small demo

Case-based explanations help understand the rational behind Machine-learning classifiers through the use of historical examples.

This demo showcases a simple case-based explanation system for a handwritten digit classifier. The system will evaluate a user-submitted drawing and present a set of similar examples based on the features computed by a Neural Network. For more information visit our About page.