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The estimation of the likelihood of rare events poses a significant problem for classification problems in machine learning. This occurs when one of the target classes has a majority number of instances concentrated to it compared to the minority class. T
Generative Adversarial Networks (GANs) were invented in 2014 and have generated more interest since then. GANs are useful for learning the structure of the data without explicitly postulating the model. They are better than other generative models, used f