This project is part of the deep learning course at KTH. The aim of the project is to study the effect of the symmetric Cross Entropy based on the paper ** Symmetric Cross Entropy for Robust Learning with Noisy Labels **.
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Run main.py to train and evaluate models.
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Functions for loading the CIFAR-10 and Fashion-MNIST are found in data.py.
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The utils.py function contains minor help functions used in the mian.py program.