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GAN is an architecture in which two opposite networks compete with each other to generate desired data. The output of GAN include images, animation video, text, etc. The neural or opposite networks are named generative network and discriminator network. The generative network is provided with raw data to produce fake data. The fake data is then provided to the discriminator network. Real data and fake data (output from […]
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