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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
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