To avoid overfitting in large neural networks, one might employ a technique known as ________, which involves dropping out random neurons during training.
- Batch Normalization
- L2 Regularization
- Gradient Descent
- Dropout
The 'Dropout' technique involves randomly deactivating a fraction of neurons during training, which helps prevent overfitting in large neural networks.
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