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Found 3 papers, 1 papers with code
Understanding, Analyzing, and Optimizing the Complexity of Deep Models
Based on the proposed metrics, we analyze two typical phenomena of the change of the transformation complexity during the training process, and explore the ceiling of a DNN’s complexity.
Disentanglement, Visualization and Analysis of Complex Features in DNNs
This paper aims to define, visualize, and analyze the feature complexity that is learned by a DNN.
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
This paper aims to define, quantify, and analyze the feature complexity that is learned by a DNN.
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