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Generative adversarial network

deep learning method in which two neural networks compete with each other in a game, learning to generate new data with the same statistics as the training set

Pronunciation
/ˈʤɛnərətɪv ˌadvəˈsɛːrɪəl ˈnɛtwəːk/
/ˈʤɛnəˌreɪdɪv ˌædvərˈsɛriəl ˈnɛtˌwərk/