Explainability

Activation Maps

Creates visual heatmaps of model activations (e.g., Grad-CAM)

2 techniques in this subcategory

2 techniques
GoalsModelsData TypesDescription
Gradient Saliency
Algorithmic
Architecture/neural Networks
Requirements/differentiable
+2
Image
Gradient saliency (also called vanilla gradient saliency) is the simplest gradient-based explanation for image...
Gradient-weighted Class Activation Mapping
Algorithmic
Architecture/neural Networks/convolutional
Requirements/architecture Specific
+3
Image
Grad-CAM (Gradient-weighted Class Activation Mapping) draws a heatmap over an image showing which regions most raise a...
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