Training & Optimization
Weight Decay
A regularization technique that shrinks weights toward zero during optimization. Equivalent to L2 regularization in standard SGD, but differs when using adaptive optimizers like Adam.
Related Concepts
- L2 Regularization: Explore how L2 Regularization relates to Weight Decay
- Regularization: Explore how Regularization relates to Weight Decay
- Optimization: Explore how Optimization relates to Weight Decay
Why It Matters
Understanding Weight Decay 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 l2-regularization regularization optimization