1. 运筹优化问题介绍 Introduction to Operation Resrarch

    优化

    2022/09/09 OperationResrarch

  2. Ganlecture10 evaluation & concluding remarks

    GAN Lecture 10 (2018): Evaluation & Concluding Remarks 传统方法 —Likelihood 解决方法1 Kernel ...

    2022/08/11 GAN

  3. Ganlecture9 squence generation

    GAN Lecture 9 (2018): Sequence Generation 问题 回顾 Improving Supervised Seq-to-seq Model 方...

    2022/07/11 GAN

  4. Ganlecture8 intelligent photo editing

    GAN Lecture 8 (2018): Intelligent Photo Editing 问题: 如何反推出 生成结果的什么特征对应输入的label不同维度 怎么做 不同...

    2022/06/11 GAN

  5. Ganlecture7 feature extraction

    GAN Lecture 7 (2018): Feature Extraction https://colab.research.google.com/github/zuti666/gene...

    2022/05/11 GAN

  6. GAN Lecture 6 (2018) GANLecture6 Tips for Improving GAN

    GAN Lecture 6 (2018): Tips for Improving GAN https://colab.research.google.com/github/zuti666/...

    2022/04/11 GAN

  7. GAN Lecture 5 (2018) General Framework

    GAN Lecture 5 (2018): General Framework f-divergence 不同的f,会产生不同的 divergence Fenchel Conjuga...

    2022/03/11 GAN

  8. GAN Lecture 4 (2018) Basic Theory

    GAN Lecture 4 (2018): Basic Theory 生成任务目标是找到一个distribution 有一个distribution ,对应的是人脸 gan的任务就是...

    2022/02/11 GAN

  9. GAN Lecture 3 (2018) Unsupervised Conditional Generation

    GAN Lecture 3 (2018): Unsupervised Conditional Generation 问题 风格转换任务,没有label ,只有两堆data,machine学习...

    2022/01/12 GAN

  10. GANLecture2 Conditional GAN

    GANLecture2 Conditional GAN Contional GAN paper code 解读 这篇论文中的Conditional GAN和原生GAN在结构上没有太...

    2022/01/11 GAN