Introducing Adversarial Learning

The training process where the two models try to weaken each other and, as a result, improve each other is called adversarial learning. As demonstrated in the following diagram, models A and B have totally opposite agendas (for example, classification and generation). However, during each step of the training, the output of Model A improves Model B, and the output of Model B improves Model A:

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