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Grad-CAM for Visualizing Attention Regions of PCA and SVM Layers in Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are an effective approach for classification tasks, particularly when the training dataset is large. Although CNNs have long been considered a black-box classification method, they can be used as a white-box method through visualization techniques such as Grad-CA
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