PatternShift - Adversarial Methods
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Adversarial learning techniques pit two different machine learning algorithms against each other. One might—for instance—try to generate fake data while the other algorithm tries to determine whether data it sees is real or generated. Despite being set at odds, the end result of the learning process improves both algorithms.
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