I want to use shap to explain my image classification model.

I read that it is better to use shap.DeepExplainer (than shap.KernelExplainer) when using deep-learning models.

  1. What makes DeepExplainer works better in deep models than KernelExplainer ?
  2. What are the benefits of using DeepExplainer and not KernelExplainer ?

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