Using Sharpness-Aware Minimization to Boost Deep Learning Models

Sharpness-Aware Minimization (SAM) is an optimization technique designed to improve the generalization of deep learning models by flattening the loss landscape during training. Unlike traditional methods like Stochastic Gradient Descent (SGD) or Adam, SAM explicitly balances minimizing the loss and…