Relevance in the eye of the beholder
This thesis examines a method for how humans can assess quality of classifications by image based neural network. Through examples visualisations of layerwise relevance propagation (Bach et al. 2015) test participants are tasked with learning to differentiate correctly and incorrectly classified images. To test their learning, they are tasked with evaluating visualisations based on whether they be
