李宏毅2021春季机器学习课程课件及作业

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，也支持百度云盘全部下载。

章节	名称	视频	资料	作业
Introduction	Course Introduction	链接	ppt pdf	-
Introduction	Introduction of ML/DL	链接	ppt pdf	HW1: Regression
Deep Learning	Guideline of ML: overfit	链接	ppt pdf	-
Deep Learning	Critical Point: small gradient	链接	ppt pdf	-
Deep Learning	Adaptive Learning Rate: optimizer	链接	ppt pdf	-
Deep Learning	Loss of Classification: classification	链接	ppt pdf	HW2: Classification
CNN & Self-Attention	ML Pretest	-	pdf	-
CNN & Self-Attention	CNN	链接	ppt pdf	HW3: CNN
CNN & Self-Attention	Self-Attention	链接	ppt pdf	HW4: Self-Attention
Theory of ML	PAC Learning	-	pdf	-
Transformer	Normalization	链接	ppt pdf	-
Transformer	Seq2Seq	链接	ppt pdf	HW5: Transformer
Generative Model	GAN	链接	ppt pdf	HW6: GAN
Self-Supervised Learning	BERT	链接	ppt pdf	HW7: BERT
Self-Supervised Learning	Auto-Encoder	链接	ppt pdf	HW8: Anomaly Detection
Explainable AI / Adversarial Attack	Adversarial Attack	链接	ppt pdf	HW10: Adversarial Attack
Explainable AI / Adversarial Attack	Explainable AI	链接	ppt pdf	HW9: Explainable AI
Domain Adaptation	-	链接	ppt pdf	HW11: Adaptation
RL	DRL	链接	ppt pdf	HW12: RL
Quantum ML	-	-	pdf	-
Life-Long/Compression	Life-long Learning	链接	ppt pdf	HW13: Compression
Life-Long/Compression	Network Compression	链接	ppt pdf	HW14: Life-long Learning
Meta Learning	-	链接	ppt 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
2021/12/20	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-提取码：ry4a

Name		Name	Last commit message	Last commit date
Latest commit History 126 Commits
01 Introduction		01 Introduction
02 Deep Learning		02 Deep Learning
03 Self-Attention/作业HW3-4		03 Self-Attention/作业HW3-4
05 Transformer/作业HW5		05 Transformer/作业HW5
06 GAN/作业HW6		06 GAN/作业HW6
07 Self-Supervised Learning/作业HW7&8		07 Self-Supervised Learning/作业HW7&8
08 Explainable AI&Adversarial Attack/作业HW9&HW10		08 Explainable AI&Adversarial Attack/作业HW9&HW10
09 Domain Adaptation/作业HW11		09 Domain Adaptation/作业HW11
10 RL/作业HW12		10 RL/作业HW12
12 Life-Long&Compression/作业HW13&HW14		12 Life-Long&Compression/作业HW13&HW14
13 Meta Learning/作业HW15		13 Meta Learning/作业HW15
助教作业范例		助教作业范例
选修 To Learn More		选修 To Learn More
Lecture Schedule.jpg		Lecture Schedule.jpg
Mine.png		Mine.png
README.md		README.md