Backpropagation computes gradients of a neural network’s loss with respect to its parameters by applying the chain rule from output to input layers.
AI Glossary
Backpropagation
Coverage in development
Backpropagation computes gradients of a neural network’s loss with respect to its parameters by applying the chain rule from output to input layers.
Definition
Plain English explanation
It is the accounting method that tells each layer how to adjust after a prediction error.
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 →