Concepts & capability filters
optimization
Pruning
Pruning removes less important weights or neurons from a trained neural network, reducing model size and computation while aiming to preserve accuracy.
- Category
- optimization
- Difficulty
- Not classified
- Aliases
- None tracked
- Last reviewed
- 2026-07-02
Key facts
- It creates sparse models that are faster and more efficient for deployment.