KANs: The Future of Neural Networks? Exploring the Power of Learnable Activations

The Kolmogorov-Arnold Representation Theorem The foundation of KANs lies in the Kolmogorov-Arnold Representation Theorem (KART). This theorem states that any continuous multivariate function can be represented as a superposition of…

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Visualizing Deep Learning: Filter, Class Activation Maps and LIME

What is covered? OverviewImporting librariesLoading the MNIST datasetPreprocessingLoading the trained modelEvaluationModel visualizationFilter visualizationClass activation mapLIMEConclusion Overview Unlike machine learning models, the deep learning models lack transparency in the decision making…

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