|章节|名称|资料|作业|
|---|---|---|---|---|
|Introduction|Course Introduction|ppt pdf|Colab:
pdf code
Pytorch:
pdf1 pdf2 code|
|Introduction|Introduction of ML/DL|ppt pdf|HW1:
pdf code|
|Deep Learning|Guideline of ML: overfit|ppt pdf|-|
|Deep Learning|Critical Point: small gradient|ppt pdf|-|
|Deep Learning|Adaptive Learning Rate: optimizer|ppt pdf|-|
|Deep Learning|Loss of Classification: classification|ppt pdf|HW2:
pdf code code|
|CNN & Self-Attention|ML Pretest|-|pdf|-|
|CNN & Self-Attention|CNN|ppt pdf|HW3:
pdf code|
|CNN & Self-Attention|Self-Attention|ppt pdf|HW4:
pdf code|
|Theory of ML|PAC Learning|pdf|-|
|Transformer|Normalization|ppt pdf|-|
|Transformer|Seq2Seq|ppt pdf|HW5:
pdf code code|
|Generative Model|GAN|ppt pdf|HW6:
pdf code|
|Self-Supervised Learning|BERT|ppt pdf|HW7:
pdf code|
|Self-Supervised Learning|Auto-Encoder & Anomaly Detection|ppt pdf|HW8:
pdf code|
|Explainable AI / Adversarial Attack|Explainable AI|ppt pdf|HW9:
pdf code|
|Explainable AI / Adversarial Attack|Adversarial Attack|ppt pdf|HW10:
pdf code|
|Domain Adaptation|-|ppt pdf|HW11:
pdf code code|
|RL|DRL|ppt pdf|HW12:
pdf code code|
|Quantum ML|-|pdf|-|
|Life-Long/Compression|Life-long Learning|ppt pdf|HW13:
pdf code|
|Life-Long/Compression|Network Compression|ppt pdf|HW14:
pdf code|
|Meta Learning|-|ppt pdf|HW15:
pdf code|
