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Why Use Mixup: 4 Benefits + 3 Lines of PyTorch Code
Now that you know what mixup is, here's why every CV practitioner should be using it — and how to drop it into your PyTorch training loop in three lines. Four wins: 1. Prevents overfitting (the biggest one) 2. Counters adversarial attacks 3. Augments small datasets effectively 4. Produces softer, more generalizable decision boundaries It's ...
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