Machine Learning 2017 Spring
| Topic |
Date |
PPT |
PDF |
Video |
| Introduction of this course: |
2017/02/23 |
PPT |
PDF |
|
| Regression: |
2017/03/02 |
PPT |
PDF |
MP4 |
| Where does the error come from?: |
2017/03/02 |
PPT |
PDF |
MP4 |
| Gradient Descent: |
2017/03/09 |
PPT |
PDF |
MP4 |
| Classification: Probabilistic Generative Model |
2017/03/16 |
PPT |
PDF |
MP4 |
| Classification: Logistic Regression |
2017/03/23 |
PPT |
PDF |
MP4 |
| Introduction of Deep Learning |
2017/03/23 |
PPT |
PDF |
MP4 |
| Backpropagation |
2017/03/23 |
PPT |
PDF |
MP4 |
| “Hello world” of Deep Learning |
2017/03/23 |
PPT |
PDF |
MP4 |
| Tips for Deep Learning |
2017/03/30 |
PPT |
PDF |
MP4 |
| Convolutional Neural Network |
2017/04/06 |
PPT |
PDF |
MP4 |
| Why Deep? |
2017/04/06 |
PPT |
PDF |
MP4 |
| Semi-supervised Learning |
2017/04/13 |
PPT |
PDF |
MP4 |
| Unsupervised Learning: Principle Component Analysis |
2017/04/13 |
PPT |
PDF |
MP4 |
| Unsupervised Learning: Neighbor Embedding |
2017/04/20 |
PPT |
PDF |
MP4 |
| Unsupervised Learning: Deep Auto-encoder |
2017/04/20 |
PPT |
PDF |
MP4 |
| Unsupervised Learning: Word Embedding |
2017/04/27 |
PPT |
PDF |
MP4 |
| Unsupervised Learning: Deep Generative Model |
2017/04/27 |
PPT |
PDF |
MP4 |
| Transfer Learning |
2017/05/03 |
PPT |
PDF |
MP4 |
| Recurrent Neural Network |
2016/12/30 |
PPT |
PDF |
MP4 1 MP4 2 |
| Matrix Factorization |
2017/05/25 |
PPT |
PDF |
MP4 |
| Ensemble |
2017/05/25 |
PPT |
PDF |
MP4 |
| Introduction of Structured Learning |
2017/06/01 |
PPT |
PDF |
MP4 1 MP4 2 |
| Introduction of Reinforcement Learning |
2017/06/15 |
PPT |
PDF |
MP4 |