Gradient descent is an iterative optimization method that updates parameters in the direction that reduces a loss function.
AI Glossary
Gradient Descent
Coverage in development
Gradient descent is an iterative optimization method that updates parameters in the direction that reduces a loss function.
Definition
Plain English explanation
Training walks downhill on an error surface by repeatedly taking small steps guided by gradients.
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Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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