Answers.Body: <p>Yes you are correct that GradCam does not support regression in its formulation, but most gradient-based saliency map methods do support regression, for example:</p>
  <ol>
  <li>Guided Backpropagation</li>
  <li>Integrated Gradients</li>
  <li>SmoothGrad</li>
  </ol>
  <p>Also in non-gradient methods, LIME supports regression as well.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-12-24T01:47:49.207Z
Answers.Text: Thanks for you answering! Whether these methods are also useful in relatively simple Fully connected neural network or is only  used for CNNs. And how can i choose a suitable one among them? Are there a document about limitations or comparison about these methods.
Answers.UserDisplayName: minghuisvn
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-12-21T11:11:48.257Z
Answers.LastActivityDate: 2022-12-21T11:11:48.257Z
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Body: <p>I mainly tackle regression problems by CNNs, and want to find a reliable method to calculate the heatmaps for NN's results. However, I find almost all interpretation methods including CAM is used for classification NNs but not for regression NNs.</p>
  <p>Is there any interpretation method suitable for CNNs which do regression tasks?</p>
  
Tags: <convolutional-neural-networks><regression><algorithm-request><model-request><explainable-ai>
Title: Is there any interpretation method suitable for CNNs which do regression tasks?
UserDisplayName: minghuisvn
ThreadText: # Is there any interpretation method suitable for CNNs which do regression tasks?
  
  (Asked by: username_0 on 2022-12-21)
  
  I mainly tackle regression problems by CNNs, and want to find a reliable method to calculate the heatmaps for NN's results. However, I find almost all interpretation methods including CAM is used for classification NNs but not for regression NNs.
  
  Is there any interpretation method suitable for CNNs which do regression tasks?
  
  **Tags:** convolutional-neural-networks, regression, algorithm-request, model-request, explainable-ai
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2022-12-21. Score: 1
  
  Yes you are correct that GradCam does not support regression in its formulation, but most gradient-based saliency map methods do support regression, for example:
  
  1. Guided Backpropagation
  2. Integrated Gradients
  3. SmoothGrad
  
  Also in non-gradient methods, LIME supports regression as well.
  
  > **Comments:**
  > **username_0**: Thanks for you answering! Whether these methods are also useful in relatively simple Fully connected neural network or is only  used for CNNs. And how can i choose a suitable one among them? Are there a document about limitations or comparison about these methods.  
  
  ---
  
  