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Generative adversarial network Generative adversarial network (English: generative adversarial network, gan for short) is a method of unsupervised learning by letting two neural networks play games with each other. Gan is the abbreviation of generative adversarial networks, and Chinese is usually translated as "generative adversarial network". This is a deep learning model proposed by ian goodfellow et al. in 2014.
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For more details and authoritative references, refer to the official documentation on Wikipedia.
