Glossary · Phase 4 · Deep learning
Dropout
Randomly switching off some neurons during training so the network can't lean on any single one.
Learn it properly
Dropout · Randomly switch off neurons to prevent overfitting. About 25 minutes.
Other terms from the same lesson
- inverted dropout: The usual way dropout works: scale up the surviving values during training, so nothing needs changing when the model is used.