The implementation of l1 and l2 regularization in nanotechnology-related models can be done using various machine learning frameworks and software tools. For instance: - Python Libraries: Libraries like scikit-learn provide built-in functions for applying l1 and l2 regularization. - Matlab: Offers toolboxes that support regularization methods. - Custom Algorithms: Tailoring algorithms to specific nanotechnology applications.
