DeepExplain
Neural network attribution framework
A framework for understanding how deep neural networks process input data to produce output
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
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Language: Python
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