Gradient Boosting Machines
Computer Vision
A technique that creates heat maps showing which regions of an image are important for classification.
Detailed Explanation
Grad-CAM (Gradient-weighted Class Activation Mapping) is a technique used in computer vision to produce visual explanations for CNN decisions. It generates heat maps highlighting the regions in an image that most influence the model's classification. By analyzing gradients flowing into the final convolutional layers, Grad-CAM helps users understand and interpret the model’s focus during prediction.
Use Cases
- •Use case: Visualize important image regions to verify model focus in object detection and interpret classification results.
Related Terms
Other terms in the Computer Vision category