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Visualizing Model Insights: A Guide to Grad-CAM in Deep Learning

Hoca

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Introduction Gradient-weighted Class Activation Mapping is a technique used in deep learning to visualize and understand the decisions made by a CNN. This groundbreaking technique unveils the hidden decisions made by CNNs, transforming them from opaque models into transparent storytellers. Picture this as a magic lens that paints a vivid heatmap, spotlighting the essence of […]

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