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On Network Science And Mutual Information For Explaining Deep Neural Networks
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On Network Science And Mutual Information For Explaining Deep Neural Networks
In this paper, we present a new approach to interpreting deep learning models. By coupling mutual information with network science, we explore how information flows through feedforward networks. We show that efficiently approximating mutual information al
In this paper, we present a new approach to interpreting deep learning models. By coupling mutual information with network science, we explore how information flows through feedforward networks. We show that efficiently approximating mutual information al
