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Felix M. Jimenez, Amanda Koepke, Mary Gregg, Michael R. Frey
A generative adversarial network (GAN) is an artificial neural network with a distinctive training architecture, designed to create examples that faithfully
Jolene D. Splett, Felix M. Jimenez, Amanda A. Koepke
In ordinary least-squares regression, independent variables are assumed to be known without error. However, in many real-life situations this assumption is not