Regularization Techniques

  • Nikhil Ketkar
Chapter

Abstract

In this chapter we will cover three regularization techniques commonly used in deep learning, namely, early stopping, norm penalties, and dropout. The reader is advised to refer to Chapter  2 introducing the basics of machine learning, specifically to revisit the notions of model capacity, overfitting, and underfitting.

Copyright information

© Nikhil Ketkar 2017

Authors and Affiliations

  • Nikhil Ketkar
    • 1
  1. 1.BangaloreIndia

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