| 週次 |
授課內容 |
| 第1週 |
Introduction to Artificial Intelligence and Machine Learning.
(Problem formulation, modeling, introduction to common commercial software and open datasets, reference and textbooks) |
| 第2週 |
Introduction to Artificial Intelligence and Machine Learning.
(Problem formulation, modeling, introduction to common commercial software and open datasets, reference and textbooks) |
| 第3週 |
Introduction to Artificial Intelligence and Machine Learning.
(Problem formulation, modeling, introduction to common commercial software and open datasets, reference and textbooks) |
| 第4週 |
Mathematical basics- I
(Linear Algebra, Information Theory, Probability) |
| 第5週 |
Mathematical basics- I
(Linear Algebra, Information Theory, Probability) |
| 第6週 |
Mathematical basics- I
(Linear Algebra, Information Theory, Probability) |
| 第7週 |
Mathematical basics- II
(Deep neural network basics) |
| 第8週 |
Mathematical basics- II
(Deep neural network basics) |
| 第9週 |
Mathematical basics- II
(Deep neural network basics) |
| 第10週 |
Mathematical basics- III
(Typical loss function designs) |
| 第11週 |
Mathematical basics- III
(Typical loss function designs) |
| 第12週 |
Mathematical basics- III
(Typical loss function designs) |
| 第13週 |
Mathematical basics- IV
(Advanced neural networks-1) |
| 第14週 |
Mathematical basics- IV
(Advanced neural networks-1) |
| 第15週 |
Mathematical basics- IV
(Advanced neural networks-1) |
| 第16週 |
Mathematical basics- V
(Advanced neural networks-2)
Mathematical basics- V
(Advanced neural networks-2)
Mathematical basics- V
(Advanced neural networks-2) |
自主學習
內容 |
|