自然語言處理概論
Introduction to Natural Language Processing
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 自然語言處理概論 EC115（光復） 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
This course introduces advancements in natural language processing technology from different levels such as vocabulary, syntax, and pragmatics, demonstrating how to apply machine learning and deep learning models in natural language processing. We will also talk about how to implement commonly used models in natural language processing, enabling students to use the latest technologies to analyze documents. The course is taught in English.
Introduction to Machine Learning, Python Programming
無備註
I offer both in-person and synchronous online courses. If there is a need to switch to online-only mode, further notice will be given. The courses are mainly based on the content of the slides, and assignments are given for practical exercises.
1學期作業 4 homework、1 final project 2.考試狀況 No exam 3.評量方法 Homework (individual): 75% Final Project (Group): 25%
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction of the Course 2026-02-24(二) |
| 第 2 週 | Introduction to Natural Language Processing 2026-03-03(二) |
| 第 3 週 | Language Modeling 2026-03-10(二) |
| 第 4 週 | Neural Language Model 2026-03-17(二) |
| 第 5 週 | Transformer 2026-03-24(二) |
| 第 6 週 | Evaluation 2026-03-31(二) |
| 第 7 週 | LLM Trustworthiness and Robustness 2026-04-07(二) |
| 第 8 週 | Midterm (No Class) 2026-04-14(二) |
| 第 9 週 | Large Reasoning Models 2026-04-21(二) |
| 第 10 週 | Language Agents 2026-04-28(二) |
| 第 11 週 | Augmented LMs 2026-05-05(二) |
| 第 12 週 | Multi-Agent 2026-05-12(二) |
| 第 13 週 | Planning 2026-05-19(二) |
| 第 14 週 | Jailbreaking 2026-05-26(二) |
| 第 15 週 | Vision Language Models 2026-06-02(二) |
| 第 16 週 | Final Exam (No Class) 2026-06-09(二) |
Grus, Joel. Data science from scratch: first principles with python. O'Reilly Media, 2019. Christopher D. Manning and Hinrich Schütze, Foundations of Statistical Natural Language Processing, MIT Press. 1999.
- 地點
- 教師未提供此項資料
- 時間
- by appointment
- 聯絡方式
- by e-mail