Difference between revisions of "Discussion of: Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications"
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(Created page with " ''David:'' * Equation 1: This assumes there is a root and that it is not too far from the point of interest. Why not choose a point that represents some average or trusted pr...") |
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| − | * Equation 1: This assumes there is a root and that it is not too far from the point of interest. Why not choose a point that represents some average or trusted prediction value? e.g. use a nearby point that was part of the training set and for which the model predicts an accurate value? | + | * <s>Equation 1: This assumes there is a root and that it is not too far from the point of interest. Why not choose a point that represents some average or trusted prediction value? e.g. use a nearby point that was part of the training set and for which the model predicts an accurate value?</s> ''partially addressed at boom of pg. 249'' |
| + | * For voice interpretation, they switched to frequency basis. Something one would have guessed ahead of time. Is there a way you could know to make such a transformation based on their initial attempt using just samples? | ||
Latest revision as of 23:33, 23 May 2021
David:
Equation 1: This assumes there is a root and that it is not too far from the point of interest. Why not choose a point that represents some average or trusted prediction value? e.g. use a nearby point that was part of the training set and for which the model predicts an accurate value?partially addressed at boom of pg. 249- For voice interpretation, they switched to frequency basis. Something one would have guessed ahead of time. Is there a way you could know to make such a transformation based on their initial attempt using just samples?