Learn about crucial regularization techniques in deep learning through a comprehensive lecture covering weight decay, early stopping, and noise injection methods. Explore the manifold tangent classifier and understand how these techniques prevent overfitting in neural networks. Delve into mathematical foundations and practical implementations of regularization strategies that are essential for building robust deep learning models.