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Finding good hyperparameters, as the learning rate for gradient descent, is crucial for good performance in deep learning. There exist various automatic methods for tasks as segmentation or classification, like Baysian optimization or HpBandSter. Are there good hyperparameter optimization networks for Generative Adversarial Nets (GANs)? If yes, which ones?

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