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3min chapter
Ian Goodfellow: Generative Adversarial Networks (GANs)
Lex Fridman Podcast
Getting Away From Labeled Data
In 2016 with this semi-supervised GAN project, Tim was able to get below 1% error using only 100 labeled examples. That was about a 600x decrease in the amount of labels that he needed. So if you supervise based on also not just your discrimination ability, but your ability to classify, you're going to converge much faster.
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