Algorithm Regularization Deep Learning Chapter 5 Part 3

Summary

Elastic-Net Regression is combines Lasso Regression with Ridge Regression to give you the best of both worlds. It works well ... In this lecture, I study the geometry of loss functions and Slides available at: cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Course taught in 2015 at the University of ... 00:00 Introduction 01:10 Managing Complexity 06:57 Your model can score perfectly on training data and still fail completely on new data. That's overfitting — and Your network hits 99% training accuracy and 70% validation accuracy. That's not success — that's memorisation. This