ilsvrc2012

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Explain Neural Networks using Layer-Wise Relevance Propagation and evaluate the explanations using Pixel-Flipping and Area Under the Curve.

This project aimed to determine the ideal hyperparameters to classify the CIFAR-100 dataset.

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