arXiv · 1803.07980
Information Theoretic Interpretation of Deep learning
Abstract
We interpret part of the experimental results of Shwartz-Ziv and Tishby [2017]. Inspired by these results, we established a conjecture of the dynamics of the machinary of deep neural network. This conjecture can be used to explain the counterpart result by Saxe et al. [2018].
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Tianchen Zhao. 2018-03-22. Information Theoretic Interpretation of Deep learning. https://arxiv.org/abs/1803.07980
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