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Lesson 19 of 20 · Learning from Examples
Regularization
Regularization techniques (L1, L2, dropout) prevent overfitting by penalizing model complexity. They help models generalize to unseen data.
- Regularization prevents overfitting.
- L1, L2, and dropout are common techniques.
Think about it
What is the vanishing gradient problem?