5581 - AI（1）人工智慧基礎與應用
AI(1) Artificial Intelligence: Foundation and Applications
教育目標 Course Target
人工智慧正在改變不同行業，深度學習是近期人工智慧討論度最高的知識領域，本課程將透過機器學習的概念切入，了解過往資料分析探勘上的概念，統計概念、迴歸分析、機器學習、類神經網路等，再接續這樣的基礎概念導入深度學習理論，並透過不同應用案例了解深度學習方法的優勢與瓶頸。本課程將以Python程式語言作為課程的案例學習的程式語言，因此，學生必須具備簡單的程式語言基礎。
Artificial intelligence is changing different industries. Deep learning is the most discussed knowledge field of artificial intelligence recently. This course will use the concept of machine learning to understand the concepts of past data analysis and exploration, statistical concepts, regression analysis, machine learning, neural networks, etc., and then continue such basic concepts to introduce deep learning theory, and understand the advantages and bottlenecks of deep learning methods through different application cases. This course will use the Python programming language as the case study programming language of the course. Therefore, students must have a simple foundation in programming languages.
參考書目 Reference Books
Deep Learning
作者: Ian Goodfellow, Yoshua Bengio, Aaron Courville
出版社: The MIT Press
出版年: 2016
Deep Learning
Author: Ian Goodfellow, Yoshua Bengio, Aaron Courville
Publisher: The MIT Press
Year of publication: 2016
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
作業 Homework |
40 | |
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期末專題 Final topic |
40 | |
|
課堂報告 class report |
20 |
授課大綱 Course Plan
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 5581
- 學分 Credit: 0-4
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上課時間 Course Time:Monday/1,2,3,4[ST318]
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授課教師 Teacher:許瑞愷/陳倫奇
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修課班級 Class:工工碩1,2
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選課備註 Memo:與雲創學院3181併班上課
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