| 2/21 | Regression, Gradient Descent (link,link,link,link,link,link) | Overview(pdf,ppt,video), Rule(pdf,ppt) | HW1: regression (link) |
| 2/28 | Where does the error come from, Classification, Logistic Regression (link,link,link) | | |
| 3/07 | Deep Learning, Backpropagation (link,link) | Anomaly Detection (pdf,ppt,video) | HW2: classification (link) |
| 3/14 | CNN (link), keras (link,link,link) | Adversarial Attack (pdf,ppt,video) | |
| 3/21 | Training Deep Models (link,link,link) | Explainable ML(pdf,ppt,video) | HW3, 4: CNN, Explainable AI (link,link) |
| 3/28 | RNN (link,link) | Ordered (莊永松) link | HW5: Attack (link) |
| 4/04 | Ensemble (link) | | |
| 4/11 | Semi(link), Transfer(link) | Life-long learning (pdf,ppt,video) | |
| 4/18 | | | |
| 4/25 | Seq2seq (link) | Meta Learning (pdf,ppt,video) | HW6: RNN (link) |
| 5/02 | Unsupervised Learning (link,link,link) | Meta Learning (pdf,ppt,video,video) | 機器學習實戰演練 |
| 5/09 | Unsupervised Learning (link,link,link) | More Auto-encoder (pdf,ppt,video) | HW7: unsupervised (link) |
| 5/16 | Reinforcement Learning (link,link,link,link(optional)) | More Semi (陳奕禎), More Attack (徐瑞陽) | |
| 5/23 | | Network Compression (pdf,ppt,video) | HW8: Network Compression |
| 5/30 | GAN (link) | Transformer(pdf,ppt,video) | |
| 6/06 | | BERT (pdf,ppt,video) | |