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[P] StyleGAN – understanding the learning rate values

In the original StyleGAN implementation, the learning rates are set to the following values (see line 52 here):

  • 0.001 from 4 to 128 pixels
  • 0.0015 for 256 pixels
  • 0.002 for 512 pixels
  • 0.003 for 1024 pixels

One thing I don’t understand is why the learning rate increases with the pixel size… are the two somehow correlated? Also, is there a rule of thumb to choose how to scale the learning rates with the batch size? Thanks!

submitted by /u/albusdemens
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.