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README.md 1.9 kB

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  1. # Lhy_Machine_Learning
  2. 李宏毅2021春季机器学习课程课件及作业
  3. #------------------------------------------------------------------#
  4. 2021/03/16 更新HW1、HW2助教范例;
  5. 2021/03/26 更新HW3、HW4课件、代码、范例;release页发布HW1-HW4数据;
  6. #------------------------------------------------------------------#
  7. B站视频地址:https://www.bilibili.com/video/BV1Wv411h7kN#reply4197445138
  8. 课程主页:https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html
  9. 不定期分享读研干货,提供参与大厂讲座学知识和兼职的机会,点赞关注一起进步:https://space.bilibili.com/46880349
  10. 人工智能技术探讨群:78174903(目前满了)、571218304
  11. ![Alt text](https://github.com/Fafa-DL/Lhy_Machine_Learning/blob/main/Assignment%20Schedule.png)
  12. ![Alt text](https://github.com/Fafa-DL/Lhy_Machine_Learning/blob/main/HW.jpg)
  13. 已同步更新助教范例!
  14. 第一节 Introduction 作业 HW1: Regression 提交地址:https://www.kaggle.com/c/ml2021spring-hw1
  15. 第二节 Deep Learning 作业 HW2: Classification 提交地址:https://www.kaggle.com/c/ml2021spring-hw2
  16. 第三节 Self-Attention 作业 HW3: CNN HW4: Self-Attention 提交地址:https://www.kaggle.com/c/ml2021spring-hw3 https://www.kaggle.com/c/ml2021spring-hw4
  17. 第四节 Theory of ML
  18. 第五节 Transformer 作业 HW5: Transformer
  19. 第六节 Generative Model 作业 HW6: GAN
  20. 第七节 Self-Supervised Learning 作业 HW7: BERT HW8: Autoencoder
  21. 第八节 Explainable AI / Adversarial Attack 作业 HW9: Explainable AI HW10: Adversarial Attack
  22. 第九节 Domain Adaptation/ RL 作业 HW11: Adaptation
  23. 第十节 RL 作业 HW12: RL
  24. 第十一节 Privacy v.s. ML
  25. 第十二节 Quantum ML
  26. 第十三节 Life-Long/Compression 作业 HW13: Life-Long HW14: Compression
  27. 第十四节 Meta Learning 作业 HW15: Meta Learning