Optimizing Deep Learning Models with SAM

The Sharpness-Aware-Minimization (SAM) algorithm enhances the generalization capabilities of deep learning models by explicitly minimizing the sharpness of the loss landscape during training. This approach leads to models that are more robust and better perform on unseen data, addressing a key challenge in deep learning optimization.