5474 - 專題討論〈二〉

Seminar (II)

教育目標 Course Target

本課程以專題實作主軸,相關理論的研讀為輔。實作的主題包括:數據分析、機器學習、機械手臂路徑控制等。課程的進行方式包括:
1. 理論研讀
2. 文獻報告
3. 實作討論

歡迎有興趣的大學部同學選修(建議先與找授課教師討論)。

This course focuses on the implementation of special topics and is supplemented by the study of relevant theories. The topics implemented include: data analysis, machine learning, robotic arm path control, etc. How the course is conducted includes:
1. Theoretical study
2. Documentation report
3. Implementation discussion

Interested undergraduate students are welcome to take the course as an elective (it is recommended to discuss with the instructor first).

參考書目 Reference Books

1. Deep learning with Python, Francois Chollet, 2018, Nanning Publication.
2. Deep Learning (Adaptive Computation and Machine Learning series), Ian Goodfellow, Yoshua Bengio and Aaron Courville, The MIT Press (November 18, 2016).
3. 機器學習(參考書籍 2. 的中譯本)

1. Deep learning with Python, Francois Chollet, 2018, Nanning Publication.
2. Deep Learning (Adaptive Computation and Machine Learning series), Ian Goodfellow, Yoshua Bengio and Aaron Courville, The MIT Press (November 18, 2016).
3. Machine Learning (Chinese translation of reference book 2.)

評分方式 Grading

評分項目
Grading Method
配分比例
Percentage
說明
Description
口頭報告
Oral report
40 文獻報告
實作
Implementation
60 專題實作報告

授課大綱 Course Plan

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相似課程 Related Courses

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課程資訊 Course Information

基本資料 Basic Information

  • 課程代碼 Course Code: 5474
  • 學分 Credit: 0-3
  • 上課時間 Course Time:
  • 授課教師 Teacher:
    楊智烜
  • 修課班級 Class:
    應數系3,4,碩1,2
  • 選課備註 Memo:
    大學部可抵專題;上課時間另訂,選課前請先與任課老師商討
選課狀態 Enrollment Status

目前選課人數 Current Enrollment: 6 人

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