Artificial Intelligence
Grad-CAM
Gradient-weighted Class Activation Mapping is a visualization technique that uses the gradients flowing into a specific class during convolutional neural network training to highlight important regions in an input image. / 梯度加权类激活映射是一种可视化技术，利用卷积神经网络训练过程中流向特定类的梯度来突出显示输入图像中的重要区域。
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-08 08:05:49
Sub-knowledge points
Gradient AscentLinear Combination of Feature MapsReLU Activation
Higher-order knowledge points
Main parameters and performance indicators
target_layer: The final convolutional layer of the CNNalpha: Weighting coefficient for the weighted linear combination of feature maps
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsDAC-Grad-CAM: Defect-aware explainable AI for automated mango quality classificationOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: Grad-CAM.
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