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cs.CV2016
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers
Alexander Binder, Grégoire Montavon, Sebastian Bach +2
Layer-wise relevance propagation is a framework which allows to decompose the prediction of a deep neural network computed over a sample, e.g. an image, down to relevance scores fo…
cs.CV2016
Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth
Sebastian Bach, Alexander Binder, Klaus-Robert Müller +1
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 th…