Regularization and generalization · MLD-1009
Regularization
Methods or constraints intended to limit undesirable model complexity or improve generalization.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Penalize weights or stop training early.
Original caveat
Regularization can also cause underfitting.
Context and aliases
Level: Foundational. Stages: Theory · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- Deep Learning: online textbook ↗ · Consulted
- Google Machine Learning Glossary ↗ · Consulted
- PyTorch neural-network layers ↗ · Reference link
- Original reference URL ↗