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Related Questions
- What are the key advantages of using Grad-CAM over traditional saliency maps in deep neural networks?
- How does CAM (Class Activation Mapping) differ from Grad-CAM in terms of its approach to generating saliency maps?
- What are some common applications of CAM and Grad-CAM in interpreting the decisions made by deep neural networks?
- Can you explain the concept of 'guided backpropagation' and its role in generating Grad-CAM saliency maps?
- In what ways do CAM and Grad-CAM differ in their ability to provide insights into the feature importance of a deep neural network?
- How do CAM and Grad-CAM handle the issue of vanishing gradients in deep neural networks, and what are the implications for interpretability?
- What are some best practices for using CAM and Grad-CAM in conjunction with other interpretability techniques to gain a deeper understanding of model behavior?
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