李宏毅2021春季机器学习课程课件及作业

名称	项目
2021课程主页	李宏毅2021春季机器学习
百度云资料/作业/范例汇总	提取码：sv1i

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 & Anomaly Detection	链接	ppt pdf	HW8: Anomaly Detection
Explainable AI / Adversarial Attack	Explainable AI	链接	ppt pdf	HW9: Explainable AI
Explainable AI / Adversarial Attack	Adversarial Attack	链接	ppt pdf	HW10: Adversarial Attack
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