Implement early stopping by adding a stopping criterion based on the validation loss, which will automatically adjust the number of training iterations without modifying the model’s weights directly. This has a similar effect to L2 regularization in terms of reducing overfitting, but it provides more flexibility and adaptability in finding an optimal solution.
