Overfitting in Computer Vision
Tim and Hugo discuss the challenges of overfitting in computer vision models trained on Imagenet datasets. They explore the lack of generalization to different data distributions and the importance of validating models on diverse datasets to combat overfitting.In this clip
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Machine Learning Street Talk (MLST)
#044 - Data-efficient Image Transformers (Hugo Touvron)
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