The learning rate controls the step size of parameter updates during optimization; too large can diverge, too small can train slowly.
AI Glossary
Learning Rate
Coverage in development
The learning rate controls the step size of parameter updates during optimization; too large can diverge, too small can train slowly.
Definition
Plain English explanation
It is how aggressively the model changes its weights after each batch of examples.
Related glossary terms
Last reviewed
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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