📕 subnode [[@KGBicheno/co adaptation]]
in 📚 node [[co-adaptation]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Co-Adaptation.md by @KGBicheno
co-adaptation
Go back to the [[AI Glossary]]
When neurons predict patterns in training data by relying almost exclusively on outputs of specific other neurons instead of relying on the network's behavior as a whole. When the patterns that cause co-adaption are not present in validation data, then co-adaptation causes overfitting. Dropout regularization reduces co-adaptation because dropout ensures neurons cannot rely solely on specific other neurons.
📖 stoas
- public document at doc.anagora.org/co-adaptation
- video call at meet.jit.si/co-adaptation