no code implementations • 11 Jun 2019 • Conner Chyung, Michael Tsang, Yan Liu
In an attempt to gather a deeper understanding of how convolutional neural networks (CNNs) reason about human-understandable concepts, we present a method to infer labeled concept data from hidden layer activations and interpret the concepts through a shallow decision tree.
