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  1. Deep Convolutional Generative Adversarial Networks.md

  2. we introduced the basic ideas behind how GANs work. We showed that they can draw samples from some simple, easy-to-sample distribution, like a uniform or normal distribution, and transform them into samples that appear to match the distribution of so
  3. 所属分类:深度学习

    • 发布日期:2020-02-23
    • 文件大小:9kb
    • 提供者:qq_40441895