基本素養 Basic Literacy
無核心能力 Competence
■ 具電機工程相關領域之專業知識。
To possess professional knowledge in the field of electrical engineering.
■ 策劃及執行專題研究之能力。
The ability to plan and carry out a research project.
□ 撰寫專業論文之能力。
To write a professional-quality dissertation.
■ 創新思考及獨立解決問題之能力。
Innovative thinking and the ability to solve problems independently.
□ 跨領域人員協調整合之能力。
Multidisciplinary coordination and integration capabilities.
□ 良好的國際觀以及理解專業倫理與社會責任之能力。
A solid international outlook and the ability to understand professional ethics and social responsibility.
□ 領導、管理及規劃之能力。
Leadership, management and planning abilities.
□ 終身自我學習成長之能力
The ability to learn and develop throughout life.
課程概述 Course Description
本課程主要目標介紹人工智慧演算法理論與其於數位訊號分析之應用，課程介紹由基本類神經網路到深度學習技術理論，應用於數位訊號處理與辨識，包括壓力感測訊號應用於手寫辨識、慣性感測訊號應用於動作辨識、生理訊號應用於情緒辨識、音源訊號應用於音樂曲目分類等。課程以理論介紹結合上機實作方式進行，在課程中，學生將學習如何解析問題及資料，建構可擴展式的人工智慧演算法，並將教導學生實際使用目前廣為使用的機器學習開源框架TensorFlow。The main objectives of this course are to introduce the theory of artificial intelligence algorithm and its application in digital signal analysis. The course introduces from basic neural network to deep learning technology theory, and applied to digital signal processing and classification. Such as pressure sensing signals for handwriting recognition, inertial sensing signal for motion recognition, physiological signal for emotion recognition, sound signal for music track classification, and so on. The course is based on both theory and program practice. In the course, the students will learn how to analyze the problem and data, and construct an extensible artificial intelligence algorithm. Students will learn to use the open source TensorFlow.
課程學習目標 Course Objectives
課程進度 Progress Description
| 進度說明 Progress Description | |
|---|---|
| 1 | Syllabus |
| 2 | 電腦視覺簡介 |
| 3 | 機器學習介紹 |
| 4 | 類神經網路介紹 |
| 5 | 類神經網路模型訓練原理及驗證方法介紹 |
| 6 | AIoT環境架設深度學習理論介紹深度學習理論介紹 |
| 7 | Python程式語言環境及基礎簡介 |
| 8 | Python程式語言應用於深度學習介紹 |
| 9 | AIoT開發版操作介紹及環境安裝 |
| 10 | 雲端深度學習模型訓練系統架設 |
| 11 | 期中測驗 |
| 12 | 人臉辨識技術簡介及專案實作 |
| 13 | 人臉辨識系統專案部署及成果分享(1) |
| 14 | 人臉辨識系統專案部署及成果分享(2) |
| 15 | 音源訊號應用於音樂曲目分類技術簡介及專案實作 |
| 16 | 音源訊號應用於音樂曲目分類專案部署及成果分享 |
| 17 | 人體動作捕捉技術簡介及專案實作 |
| 18 | 人體動作捕捉專案部署及成果分享 |
以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.
課程是否與永續發展目標相關調查
Survey of the conntent relevant to SDGs
本課程與SDGs相關項目如下：
This course is relevant to these items of SDGs as following:
- 健康與福祉 (Good health and Well Being)
- 教育品質 (Quality Education)
有關課程其他調查 Other Surveys of Courses
1.本課程是否規劃業界教師參與教學或演講? 否Is there any industry specialist invited in this course? How many times? No
2.本課程是否規劃含校外實習(並非參訪)? 否
Are there any internships involved in the course? How many hours? No
3.本課程是否可歸認為學術倫理課程? 否
Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
4.本課程是否屬進入社區實踐課程? 否
Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No