Data Augmentation Insights
Tim and Hugo discuss the impact of data augmentation on building inductive biases into models, highlighting the importance of human ability in transforming data. They delve into the differences in using data augmentation with transformers versus convnets, emphasizing the significance of finding the right balance for optimal model performance.In this clip
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Machine Learning Street Talk (MLST)
#044 - Data-efficient Image Transformers (Hugo Touvron)
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