AI engineering glossary · Computer vision
What is Grad-CAM?
Grad-CAM: Gradient-weighted Class Activation Mapping, an explanation method that highlights image regions that most increased a CNN's score for a class, by weighting a late feature map with gradients. The result is a heatmap over the image.
Grad-CAM: an example
For a 'tumour' prediction on a scan, Grad-CAM shows a bright area over the suspicious region.
Related terms
- Saliency map
- Feature map
- Explainability
More Computer vision terms
- Grayscale image
- Histogram equalisation
- Histogram of oriented gradients
- Homography
- Horizontal flip
- HSV colour space
- Image classification
- Image embedding
Where you learn it
Grad-CAM is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.