Text data augmentation with PyTorch datasets
Автор: Dillon Niederhut
Загружено: 2020-08-24
Просмотров: 1388
Описание:
Data augmentation is a critical training technique for fitting machine learning models which are accurate and generalize well. This video shows how to apply RandAugment, a data augmentation policy, with text augmentation functions from niacin to natural language data inside PyTorch's data loaders.
For more about niacin, see https://niacin.readthedocs.io
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