Dropout

Entity Type: Glossary ID: dropout

Definition: A regularization technique used in neural networks to prevent overfitting by randomly setting a fraction of neurons to zero during training. This forces the network to not rely on specific neurons and improves generalization.

Related Terms: - regularization - overfitting - neural-network - generalization

Source Urls: - https://en.wikipedia.org/wiki/Dropout_(neural_networks)

Tags: - neural-networks - regularization - training

Status: active

Version: 1.0.0

Created At: 2025-08-31

Last Updated: 2025-08-31