Learn about advanced deep learning regularization techniques in this 52-minute lecture covering layer normalization, filter response normalization (FRN), and thresholded linear unit (TLU) implementations. Explore normalizer-free networks and gradient clipping methods before diving into an introduction to the Keras deep learning framework. Master essential concepts for building more stable and efficient neural networks through practical demonstrations and theoretical explanations.