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In Sharpness-Aware Minimization for Efficiently Improving Generalization the authors propose a new optimization technique, SAM. SAM is not satisfied with just a low loss, instead it seeks a neighbourhood with uniformly low loss. I wanted to try out SAM on the MNIST dataset using a simple CNN