Regularization Techniques

Prevent your model from memorizing noise. L1, L2 penalties, dropout, and early stopping each impose different inductive biases.

Learning Objectives

• →Implement L2 weight decay
• →Add dropout to a network
• →Understand the bias-variance tradeoff
• →Apply early stopping with validation loss

Practice