Data Augmentation
Data Augmentation is widely used to increase train data where there is not much of training data.
In vision tasks, it is done by,
- Cropping
- Flipping
- Padding
In language tasks, it is done by,
- Synonym
- Stemming
Data Augmentation is widely used to increase train data where there is not much of training data.
In vision tasks, it is done by,
In language tasks, it is done by,