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test fix
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lisa-sousa committed Sep 23, 2024
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2 changes: 1 addition & 1 deletion docs/source/_model_specific_xai/Grad-CAM.rst
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Expand Up @@ -14,7 +14,7 @@ In summary, Grad-CAM is an explainability technique that visually highlights the
Grad-CAM works by computing the gradients of the model's output with respect to the feature maps in the final convolutional layer,
effectively revealing which parts of the image the model 'looks at' when making a prediction.

Methematical Details
Mathematical Details
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Let us assume :math:`y^c` is the score for class :math:`c` i.e., the output for class :math:`c` before the softmax.
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