High-precision linearized interpretation for fully connected neural network

Published: 01 Jan 2021, Last Modified: 10 Apr 2025Appl. Soft Comput. 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Converting deep neural networks into a set of mathematically convergent piecewise linear neural networks.•Equivalent linear classifiers for piecewise linear neural networks.•Convergence and consistency of CIDNN’s interpretation model.•Semantical meaning of CIDNN in the Fashion-MNIST dataset.
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