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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