curvature

Training neural networks and iterative machine learning models involves a fundamental tension: models improve with more training iterations until they don’t, crossing an invisible threshold where continued training degrades generalization despite improving training performance. Early stopping—halting training before this degradation occurs—represents one of the most effective and widely used regularization techniques, yet the standard patience-based … Read more