Neural Networks
How can neural networks prevent overfitting during training?
Answer:
Neural networks prevent overfitting by applying regularisation methods such as L1/L2 penalties, dropout techniques that disable neurons during training, early stopping based on validation results, data augmentation, and cross-validation to support robust model generalisation.
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