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I am a real newbie and very inexperienced with python and GANs, so I've kind of been muddling around as best I can and figuring out what I can do with Big_Sleep. It's been really fascinating but I'd love to get a deeper understanding of what some of the code actually does.
Specifically what is lr / what does that actually do in the process, and from where does that originate? I know there are a few networks at play here and if there's a specific documentation I could look at that would be awesome!
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I am a real newbie and very inexperienced with python and GANs, so I've kind of been muddling around as best I can and figuring out what I can do with Big_Sleep. It's been really fascinating but I'd love to get a deeper understanding of what some of the code actually does.
Specifically what is lr / what does that actually do in the process, and from where does that originate? I know there are a few networks at play here and if there's a specific documentation I could look at that would be awesome!
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