An optimizer is the algorithm that updates model parameters during training based on gradients and hyperparameters such as learning rate.
AI Glossary
Optimizer
Coverage in development
An optimizer is the algorithm that updates model parameters during training based on gradients and hyperparameters such as learning rate.
Definition
Plain English explanation
It is the training recipe that decides how big and in what style each weight update should be.
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
Correction request
If a technology assignment or hub description is inaccurate, submit a correction via the Corrections Policy.
All technologies → · AI Models → · APIs & SDKs → · Integrations → · Compliance → · Browse all companies → · Explore industries → · Compare →