Table 3.
A list of common methods to mitigate overfitting
| How to mitigate overfitting | |
|---|---|
| More training data | |
| Data augmentation | |
| Regularization (weight decay, dropout) | |
| Batch normalization | |
| Reduce architecture complexity |
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