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Model Pruning

Neural Networks

Removing redundant weights or neurons to shrink models

What is Model Pruning?

Pruned models run faster and require less memory; pruning strategies can be structured or unstructured.

Real-World Examples

  • Pruning 30% of weights and fine-tuning

Related Terms

Learn more about concepts related to Model Pruning