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Rank Projection Trees for Multilevel Neural Network Interpretation

By Jonathan Warrell and others
A variety of methods have been proposed for interpreting nodes in deep neural networks, which typically involve scoring nodes at lower layers with respect to their effects on the output of higher-layer nodes (where lower and higher layers are closer to the input and output layers, respectively). However, we may... Show more
December 1, 2018
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Rank Projection Trees for Multilevel Neural Network Interpretation
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