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< ShahAnwaarKhalid> Hi! While writing examples for GANs, I realized the way GAN class has been implemented, it will only show discriminator's errors during training. Often, it's useful to monitor both generator's as well as discriminator's errors to make sure one is not overpowering the other (like in mode collapse). Perhaps, it makes sense to have a dual optimizer for GANs, one for generator and another for discriminator. Please let me
< ShahAnwaarKhalid> know your thoughts.
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< travis-ci> mlpack/ensmallen#1116 (2.16.0 - d5beea9 : Ryan Curtin): The build passed.
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< jenkins-mlpack2> Project mlpack - git commit test build #652: UNSTABLE in 1 hr 2 min: http://ci.mlpack.org/job/mlpack%20-%20git%20commit%20test/652/