Table 3 A list of common methods to mitigate overfitting
From: Convolutional neural networks: an overview and application in radiology
| How to mitigate overfitting | |
|---|---|
| More training data | |
| Data augmentation | |
| Regularization (weight decay, dropout) | |
| Batch normalization | |
| Reduce architecture complexity |
