Marcs Notes

Home

❯

university

❯

Data Science

❯

Machine Learning

❯

Neural Networks

❯

Pruning

❯

Standard Input Pruning

Standard Input Pruning

19. Jan. 20261 Min. Lesezeit

Standard Input Pruning

  • Train Neural Network
  • Rank inputs by Feature Importance
  • Prune lower ranked inputs
  • Store the model with its validation score
  • Repeat until no weights left
  • Choose best model

Also see Reverse Input Pruning


Graphansicht

Backlinks

  • Reverse Input Pruning

Erstellt mit Quartz v4.5.2 © 2026

  • GitHub