深度學習介紹 Introduction to Deep Learning
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老師: 孫敏德
助教: 曾嘉鴻, 陳柏穎, 黃靖筌, 城偉竣, 陳妍如
基本資訊
課程代碼
CEA050*
課程名稱
深度學習介紹 Introduction to Deep Learning
學分
3
學期
1092
單位
資訊工程學系 Department of Computer Science and Elec. Engineering (5002)
班級
碩士在職專班 In-service Master's Program
修課人數
32 人
老師
助教
備註
You are encouraged to discuss homework assignments with each other.  However, you are individually responsible for the homework assignments and exams.  You are NOT allowed to copy assignment from each other.  Any offense of this policy will be reported to the Academic Honesty Committee.  If you are having difficulties, see me or TA during office hours or schedule a meeting with us via email.
課程說明
課程簡介
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. This course intends to teach students simple, efficient tools to implement programs capable of learning from data.
課程大綱
連結至教務系統大綱
教科書
Aurélien Géron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Ed., Oct. 2019. O'Reilly Media.
ISBN-13: 978-1492032649
成績說明

Small Projects

45% (3 projects, 15% each)

Final Exam

30%

Term Project

15% (Presentation) + 15% (Final Report)

Total

100% + 5% bonus

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