Regularization 13
- [DL Book] 7-13. Adversarial Training
- [DL Book] 7-12. Dropout
- [DL Book] 7-11. Bagging and other Ensemble Methods
- [DL Book] 7-10. Sparse Representations
- [DL Book] 7-9. Parameter Tying and Parameter Sharing
- [DL Book] 7-8. Early Stopping
- [DL Book] 7-7. Multitask Learning
- [DL Book] 7-5. Noise Robustness
- [DL Book] 7-4. Data Augmentation
- [DL Book] 7-3. Regularization and Under-Constrained Problems
- [DL Book] 7-1-1. Parameter Norm Penalties, L1 Regularization
- [DL Book] 7-1-1. Parameter Norm Penalties, L2 Regularization
- [DL Book] 7. Regularization for Deep Learning