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MSU & AWS Present DeepAA: Fully Automated Data Augmentation Search That Rivals Human-Enhanced Approaches
March 16, 2022, 4:30 p.m. | Synced
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In the new paper Deep AutoAugment, a research team from Michigan State University and Amazon Web Services proposes Deep AutoAugment (DeepAA), a fully automated multi-layer data augmentation search method that eliminates the need for hand-crafted default transformations.
The post MSU & AWS Present DeepAA: Fully Automated Data Augmentation Search That Rivals Human-Enhanced Approaches first appeared on Synced.
ai artificial intelligence augmentation aws data data-augmentation deep-neural-networks human machine learning machine learning & data science ml research search technology
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