Deep Learning and the Information Bottleneck Principle

9 Mar 2015 Naftali Tishby Noga Zaslavsky

Deep Neural Networks (DNNs) are analyzed via the theoretical framework of the information bottleneck (IB) principle. We first show that any DNN can be quantified by the mutual information between the layers and the input and output variables... (read more)

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