Explaining neural network reasoning

From International Center for Computational Logic

Explaining neural network reasoning

Thesis defence by Walter Forkel
Neural networks are in heavy use everywhere in artificial intelligence today. They produce state of the art results in many different domains. Still the lack of comprehensibility of neural networks makes them difficult to use in certain domains where human understandable explanations are needed. In this talk we present different approaches on how to automatically generate explanations of the neural networks reasoning.