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View Code? Open in Web Editor NEWThis project aims to compare the performance of popular deep learning models, Convolutional Neural Network (CNN) and Xception with their added architectural modifications, for image classification on the Ham10000 dataset. The Ham10000 dataset contains 10,015 dermatoscopic images of pigmented skin lesions, which are categorized into seven different