Implement L2 regularization for the weights in the training process. This feature is essential to prevent overfitting by penalizing large weights, ensuring better generalization for the model.
- Add an L2 regularization term (λ * ||W||²) to the loss function.
- Update the configuration file or parameters to accept regularization strength parameter λ.