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===Data Augmentation=== | ===Data Augmentation=== | ||
[[Data augmentation]] is a practice that involves creating new information. | [[Data augmentation]] is a practice that involves creating new information. It is a technique used to expand a training dataset by altering original data in various ways. It involves making various transformations to the original sample, such as [[cropping]], [[flipping]], [[rotating]], [[scaling]] and adding noise, in order to produce new training [[examples]] that look similar but slightly different from their originals. | ||
==Explain Like I'm 5 (ELI5)== | ==Explain Like I'm 5 (ELI5)== | ||