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Deep Learning through deep learning

#3 논문리뷰 - Generative Adversarial Nets

논문 및 코드 링크 (sota) https://paperswithcode.com/method/gan Papers with Code - GAN Explained A GAN, or Generative Adversarial Network, is a generative model that simultaneously trains two models: a generative model $G$ that captures the data distribution, and a discriminative model $D$ that estimates the probability that a sample came from the tra paperswithcode.com 세 번째 논문은 연구 주제의 가장 근간이 되었던 GAN 에 ..
ML&DL/Paper Review (논문) 2023. 8. 24. 16:44
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