Don't Peek: Deep Learning without looking … at test data
What is the purpose of a theory? To explain why something works. But to also make predictions–testable predictions. Recently we introduced the theory of Implicit Self-Regularization in Deep Neural Networks. Most notably, we observe that in all pretrained models, the layer weight matrices display near Universal power law behavior.
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