Web: https://www.reddit.com/r/MachineLearning/comments/xlxqy3/d_is_there_theory_as_to_why_in_gans_training_the/

Sept. 23, 2022, 1:33 p.m. | /u/ETerribleT

Machine Learning reddit.com

It seems it is a common intuition everyone has while building GANs, to pause training the generator to let the discriminator catch up and vice versa, hoping for convergence. But from what I've read, the consensus is that this is ineffective, which is disappointing.

Is there any theoretical understanding of why something that seems this "obvious" doesn't work? Many of the sources I'm reading are from the earlier days of GANs, and I don't know if this understanding has changed …

gans generator machinelearning theory training

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