Algorithm Regularization Deep Learning Chapter 5 Part 3

Summary

After three heads in a row, maximum likelihood says the coin always lands heads. A prior pulls that estimate back to 0.8. Regularisation, stopping the model from memorising. A big model can memorise the training pictures instead of Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... Slides available at: cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Course taught in 2015 at the University of ... Lecture 27 of Build an LLM from Scratch by Engineer X · Layer normalization, Filter response normalization (FRN), Thresholded linear unit (TLU), Normalizer-free networks, Gradient ... 00:00 Introduction 01:10 Managing Complexity 06:57