Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth

21 Mar 2016Sebastian BachAlexander BinderKlaus-Robert MüllerWojciech Samek

We present an application of the Layer-wise Relevance Propagation (LRP) algorithm to state of the art deep convolutional neural networks and Fisher Vector classifiers to compare the image perception and prediction strategies of both classifiers with the use of visualized heatmaps. Layer-wise Relevance Propagation (LRP) is a method to compute scores for individual components of an input image, denoting their contribution to the prediction of the classifier for one particular test point... (read more)

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