This article presents the prediction difference analysis method for visualizing the response of
a deep neural network to a specific input. When classifying images, the method highlights
areas in a given input image that provide evidence for or against a certain class. It
overcomes several shortcoming of previous methods and provides great additional insight
into the decision making process of classifiers. Making neural network decisions
interpretable through visualization is important both to improve models and to accelerate the …

… Making neural network decisions interpretable through visualization. Propose prediction
difference analysis method. Visualizes the response of a deep neural network to a specific
input. …