Machine Learning 2017 Fall
Course Materials
| Topic | Date | Video | |
|---|---|---|---|
| Course Policy | 2017/09/15 | PDF PDF | Youtube Youtube |
| Regression (Case Study) | 2017/09/22 | Youtube | |
| Where does the error come from? | 2017/09/29 | Youtube | |
| Gradient Descent | 2017/09/29 | Youtube Demo Demo | |
| Probabilistic Generative Model | 2017/10/06 | Youtube | |
| Logistic Regression | 2017/10/06 | Youtube | |
| Brief Introduction of Deep Learning | 2017/10/13 | Youtube | |
| Backpropagation | 2017/10/13 | Youtube | |
| “Hello world” of deep learning | 2017/10/13 | Youtube 1 Youtube 2 Demo | |
| Tips for deep learning | 2017/10/20 | Youtube Demo 1 Demo 2 | |
| Convolutional Neural Network | 2017/10/27 | Youtube | |
| Why Deep | 2017/10/27 | Youtube | |
| Tensorflow 教學 by Mark (上課時間) | 2017/10/27 | ||
| Recurrent Neural Network | 2017/11/03 | Youtube 1 Youtube 2 | |
| PyTorch 教學 (上課時間) | 2017/11/03 | ||
| Ensemble | 2017/11/10 | Youtube | |
| Semi-supervised Learning | 2017/11/10 | Youtube | |
| Transfer Learning | 2017/11/17 | Youtube | |
| Deep Reinforcement Learning | 2017/11/24 | Youtube | |
| Linear Dimension Reduction | 2017/12/01 | Youtube | |
| Word Embedding, | 2017/12/08 | Youtube | |
| Neighbor Embedding, | 2017/12/08 | Youtube | |
| Sequence-to-sequence and Attention | 2017/12/08 | PDF 1 PDF 2 | Youtube 1 Youtube 2 |
| Deep Auto-encoder | 2017/12/15 | Youtube | |
| Deep Generative Model | 2017/12/15 | Youtube 1 Youtube 2 |