# How do you mitigate overfitting in neural networks?

_Last updated: 2026-07-20_  
_Reviewed by: Jason Burns, Editorial Steward_  
_Published by: AIDirectAnswers.com · Licensed under Citation License 1.0_

## Short answer

Mitigate overfitting with more and better training data, regularization (weight decay, dropout, label smoothing), data augmentation, early stopping based on a validation set, and simpler models when the signal doesn't justify complexity.

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_Author: [Jason Burns](https://www.linkedin.com/in/jason-randolph-burns), Editorial Steward_  
_Published: 2026-07-20 · Modified: 2026-07-20_  
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