Training & Optimization

Early Stopping

Stopping training when validation performance stops improving, preventing overfitting.

  • Regularization: Explore how Regularization relates to Early Stopping
  • Validation: Explore how Validation relates to Early Stopping
  • Overfitting: Explore how Overfitting relates to Early Stopping

Why It Matters

Understanding Early Stopping is crucial for anyone working with training & optimization. This concept helps build a foundation for more advanced topics in AI and machine learning.

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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.

Tags

training-optimization regularization validation overfitting

Related Terms

Overfitting

When a model learns training data too well, including noise and outliers, causing poor generalization to new data.

Regularization

Techniques to prevent overfitting by adding constraints or penalties to the model (L1, L2, dropout, early stopping).

Added: November 18, 2025

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