Generative adversarial network 生成对抗网络（英语：generative adversarial network，简称gan）是非监督式学习的一种方法，通过让两个神经网络相互博弈的方式进行. Gan是generative adversarial networks的缩写，中文通常译为“生成对抗网络”。 这是一种深度学习模型，由ian goodfellow等人在2014年提出。
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