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GANs seem really interesting, and a logical step if I'm right? As far as I understand they essentially make the fitness function more detailed, leading to highe
by hacker_9 10y ago
GANs seem really interesting, and a logical step if I'm right? As far as I understand they essentially make the fitness function more detailed, leading to higher quality output from the network as it get's more accurate good/bad feedback.
- deepnotderp 10y agoIt's more a combination of two things: 1) finding a clever way to do unsupervised learning. And 2) the Adversarial loss enables types of "loss functions" that wouldn't be possible with day, mse. It's almost like having a human as a loss function.
- deepnotderp 10y ago*say, not "day"
- deepnotderp 10y ago*say, not "day"
- deleted 10y ago[deleted]