Glossary · Phase 4 · Deep learning
Dropout
Randomly switching off some neurons during training so the network can't lean on any single one.
Try it now
Press the button to see the next batch's thinned network. The survivors get scaled up so the total signal stays the same on average.
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.
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