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Pre or Post-Softmax Scores in Gradient-based Attribution Methods, What is Best?
Miguel Lerma, Mirtha Lucas
Gradient based attribution methods for neural networks working as classifiers use gradients of network scores. Here we discuss the practical differences between using gradients of pre-softmax scores versus post-softmax scores, and their respective advantages and disadvantages.
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