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-1,74 +1,81 @@ -# Lhy_Machine_Learning 李宏毅2021春季机器学习课程课件及作业 - -#------------------------------------------------------------------# - -2021/03/16 更新HW1、HW2助教范例； - -2021/03/26 更新HW3、HW4课件、代码、范例；release页发布HW1-HW4数据； - -2021/04/01 更新选修内容To Learn More，基本是李老师今年不打算讲而以前讲过的知识点(旧视频)； - -2021/04/09 更新GAN及HW05； - -2021/04/16 更新Self-Supervised Learning及HW06 - -2021/04/30/ 更新Explainable AI&Adversarial Attack 及 HW07&HW08 - -2021/05/06/ 更新Domain Adaptation 及 HW09&HW10 - -2021/05/21/ 更新RL 及 HW11 - -2021/05/28/ 更新Quantum ML - -2021/06/04/ 更新Life-Long&Compression 及 HW12 - -2021/06/11/ 更新Meta Learning 及 HW13&HW14 - -2021/06/18/ 更新HW15，随着李老师课程结语视频上传，2021机器学习基本结束啦。 - -#------------------------------------------------------------------# - -B站视频地址：https://www.bilibili.com/video/BV1Wv411h7kN#reply4197445138 - -课程主页：https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html - -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 - -人工智能技术探讨群：78174903(目前满了)、571218304 +=========================== + +[![BILIBILI](https://github.com/Fafa-DL/Lhy_Machine_Learning/blob/main/Mine.png)](https://space.bilibili.com/46880349) + +**** + +``` +群内有许多来自不同领域的人才，未来大咖云集的地方哈哈哈； +不定期分享AI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； +ppt/pdf支持直链下载，也支持[百度云盘 提取码：ry4a]((https://pan.baidu.com/s/1ZFWzLpMT301GacRPWIndEg))全部下载。 +``` + +|B站主页|[啥都会一点的研究生](https://space.bilibili.com/46880349)| +|---|---| +|人工智能技术探讨群1|[78174903](https://jq.qq.com/?_wv=1027&k=lY5KVICA)| +|人工智能技术探讨群2|[571218304](https://jq.qq.com/?_wv=1027&k=ZCDCT3xV)| +|人工智能技术探讨群3|[584723646](https://jq.qq.com/?_wv=1027&k=bakez5Yz)| + +**** + +**** + +|名称|项目| +|---|---| +|课程主页|[李宏毅2021春季机器学习](https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html)| +|B站视频合集|[(强推)李宏毅2021春机器学习课程](https://www.bilibili.com/video/BV1Wv411h7kN)| +|百度云资料/作业/范例汇总|[提取码：ry4a](https://pan.baidu.com/s/1ZFWzLpMT301GacRPWIndEg)| + +**** + + +**** + +|章节|名称|视频|资料|作业| +|---|---|---|---|---|---| +|Introduction|Course Introduction|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/introduction%202021%20(v6)%20Chinese.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/introduction-2021-v6-Chinese.pdf)|-| +|Introduction|Introduction of ML/DL|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=2)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/regression%20(v16).pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/regression%20(v16).pdf)|HW1: Regression| +|Deep Learning|Guideline of ML: overfit|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=10)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/overfit-v6.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/overfit-v6.pdf)|-| +|Deep Learning|Critical Point: small gradient|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=11)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/small-gradient-v7.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/small-gradient-v7.pdf)|-| +|Deep Learning|Adaptive Learning Rate: optimizer|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=13)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/optimizer_v4.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/optimizer_v4.pdf)|-| +|Deep Learning|Adaptive Learning Rate: optimizer|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=14)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/classification_v2.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/classification_v2.pdf)|HW2: Classification| +|CNN & Self-Attention|ML Pretest|-|[pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/pretest.pdf)|-| +|CNN & Self-Attention|CNN|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=22)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/cnn_v4.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/cnn_v4.pdf)|HW3: CNN| +|CNN & Self-Attention|Self-Attention|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=23)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/self_v7.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/self_v7.pdf)|HW4: Self-Attention| +|Theory of ML|PAC Learning|-|[pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/W14_PAC-introduction.pdf)|-| +|Transformer|Normalization|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=34)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/normalization_v4.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/normalization_v4.pdf)|-| +|Transformer|Seq2Seq|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=35)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/seq2seq_v9.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/seq2seq_v9.pdf)|HW5: Transformer| +|Generative Model|GAN|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=40)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/gan_v10.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/gan_v10.pdf)|HW6: GAN| +|Self-Supervised Learning|BERT|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=50)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/bert_v8.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/bert_v8.pdf)|HW7: BERT| +|Self-Supervised Learning|Auto-Encoder|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=53)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/auto_v8.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/auto_v8.pdf)|HW8: Anomaly Detection| +|Explainable AI / Adversarial Attack|Adversarial Attack|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=63)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/attack_v3.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/attack_v3.pdf)|HW10: Adversarial Attack| +|Explainable AI / Adversarial Attack|Explainable AI|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=65)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/xai_v4.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/xai_v4.pdf)|HW9: Explainable AI| +|Domain Adaptation|-|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=71)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/da_v6.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/da_v6.pdf)|HW11: Adaptation| +|RL|DRL|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=73)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/drl_v5.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/drl_v5.pdf)|HW11: Adaptation| +|Quantum ML|-|-|[pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/GuestLecture_QML.pdf)|-| +|Life-Long/Compression|Life-long Learning|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=84)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/life_v2.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/life_v2.pdf)|HW13: Compression| +|Life-Long/Compression|Network Compression|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=86)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/tiny_v7.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/tiny_v7.pdf)|HW14: Life-long Learning| +|Meta Learning|-|[视频链接](https://www.bilibili.com/video/BV1Wv411h7kN?p=91)|[ppt](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/meta_v3.pptx) [pdf](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2021-course-data/meta_v3.pdf)|HW15: Meta Learning| + +**** + +## 更新日志 + +|日期|项目| +|---|--- +|2021/03/16|更新HW1、HW2，同步更新助教范例| +|2021/03/26|更新HW3、HW4课件、代码、范例；release页发布HW1-HW4数据| +|2021/04/01|更新选修内容To Learn More，基本是李老师今年不打算讲而以前讲过的知识点(旧视频)| +|2021/04/09|更新GAN 及 HW05| +|2021/04/16|更新Self-Supervised Learning 及 HW06| +|2021/04/30|更新Explainable AI&Adversarial Attack 及 HW07&HW08| +|2021/05/06|更新Domain Adaptation 及 HW09&HW10| +|2021/05/21|更新RL 及 HW11| +|2021/05/28|更新Quantum ML| +|2021/06/04|更新Life-Long&Compression 及 HW12| +|2021/06/11|更新Meta Learning 及 HW13&HW14| +|2021/06/18|更新HW15，随着李老师课程结语视频上传，2021机器学习基本结束啦| +|2021/06/18|更新Github排版，删除repo中的ppt/pdf直接提供下载链接，总资料放入百度云盘| ![Alt text](https://github.com/Fafa-DL/Lhy_Machine_Learning/blob/main/Lecture%20Schedule.jpg) - -![Alt text](https://github.com/Fafa-DL/Lhy_Machine_Learning/blob/main/Assignment%20Schedule.png) - -![Alt text](https://github.com/Fafa-DL/Lhy_Machine_Learning/blob/main/HW.jpg) - -已同步更新助教范例！ - -第一节 Introduction 作业 HW1: Regression 提交地址：https://www.kaggle.com/c/ml2021spring-hw1 - -第二节 Deep Learning 作业 HW2: Classification 提交地址：https://www.kaggle.com/c/ml2021spring-hw2 - -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 - -第四节 Theory of ML - -第五节 Transformer 作业 HW5: Transformer - -第六节 Generative Model 作业 HW6: GAN - -第七节 Self-Supervised Learning 作业 HW7: BERT HW8: Autoencoder - -第八节 Explainable AI / Adversarial Attack 作业 HW9: Explainable AI HW10: Adversarial Attack - -第九节 Domain Adaptation/ RL 作业 HW11: Adaptation - -第十节 RL 作业 HW12: RL - -第十一节 Privacy v.s. 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