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Deep Learning Course - Level: Beginner
Mixup is a specific type of data augmentation technique that differs from many of the basic data augmentation implementations.
Suppose we have two classes of images for which we'll train a network. Mixup creates new samples to include in the training set by combining (i.e. mixing up) the existing samples and the corresponding labels.
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