中正大學課程大綱
課程名稱(中文)： 深度學習概論 開課單位： 資訊工程研究所(Graduate Institute of Computer Science and Information Engineering)
課程名稱(英文) Introduction to Deep Learning 課程代碼 4105016_01
授課教師： 熊博安 學分數 3
必/選修 選修 開課年級 研究所，開放大三四
先修科目或先備能力：
人工智慧、基本程式設計
課程概述：
This course is an introduction to deep learning, with special emphasis on deep neural networks (DNN). The course is suitable for a beginner in deep learning. Basics on logistic regression, neural networks, gradient descent, etc. will be covered. Hands-on practice on programming DNN will be a major aspect of learning in this course. Frameworks such as Tensorflow will also be covered. Important strategies and practices in machine learning projects will be introduced. Convolutional neural network (CNN) and sequence models along with applications will be the final part of the course.
學習目標：
1. To understand the basics of deep learning
2. To implement deep neural networks
3. To structure machine learning projects
4. To use CNN and sequence models in applications
教科書：

課程大綱 分配時數 核心能力 備註
單元主題 內容綱要 講授 示範 隨堂作業 其他
1
Introduction to Deep Learning
 3 12345678
2
Neural Networks (NN)
 Basics
 Shallow NN
 Deep NN
 3 3 12345678
3
Tuning DNN
 Regularization & Dropout
 Optimization
 Gradient Checking
 Momentum, RMSprop, Adam, Learning rate decay
 Hyperparameter tuning
 Batch Normalization
 Softmax Regression
 9 3 12345678
4
Machine Learning Projects
 Error Analysis
 Transfer Learning
 Multi-task Learning
 6 3 12345678
5
Convolutional Network Networks
 6 3 12345678
6
Sequence Models
 6 3 12345678

教育目標
1.具獨立從事學術研究或產品創新研發之人才
2.具團隊合作精神及科技整合能力，並在團隊中扮演領導、規劃、管理之角色
3.具自我挑戰與終身學習能力之人才
4.具有學術倫理、工程倫理、國際觀之人才

核心能力
1.具有資訊工程與科學領域之專業知識(Competence in computer science and computer engineering.)
2.具有創新思考、問題解決、獨立研究之能力(Be creative and be able to solve problems and to perform independent research.)
3.具有撰寫中英文專業論文及簡報之能力(Demonstrate good written, oral, and communication skills, in both Chinese and English.)
4.具策劃及執行專題研究之能力(Be able to plan and execute projects.)
5.具有溝通、協調、整合及進行跨領域團隊合作之能力(Have communication, coordination, integration skills and teamwork in multi-disciplinary settings.)
6.具有終身學習與因應資訊科技快速變遷之能力(Recognize the need for, and have the ability to engage in independent and life-long learning.)
7.認識並遵循學術與工程倫理(Understand and commit to academic and professional ethics.)
8.具國際觀及科技前瞻視野(Have international view and vision of future technology.)

請尊重智慧財產權，不得非法影印教師指定之教科書籍

教學要點概述：
1. 教材編選(可複選)：自編簡報(ppt)教科書作者提供
2. 教學方法(可複選)：講述板書講述
3. 評量工具(可複選)：上課點名 0%, 隨堂測驗0%, 隨堂作業10.00%, 程式實作20.00%, 實習報告0.00%,
                       專案報告30.00%, 期中考20.00%, 期末考20.00%, 期末報告0%, 其他0%,
4. 教學資源：課程網站 教材電子檔供下載 實習網站
5. 教學相關配合事項：

課程目標與教育核心能力相關性        
請勾選：12345678
1 具有資訊工程與科學領域之專業知識(Competence in computer science and computer engineering.)
為何有關：
達成指標：
評量工具(可複選)：
2 具有創新思考、問題解決、獨立研究之能力(Be creative and be able to solve problems and to perform independent research.)
為何有關：
達成指標：
評量工具(可複選)：
3 具有撰寫中英文專業論文及簡報之能力(Demonstrate good written, oral, and communication skills, in both Chinese and English.)
為何有關：
達成指標：
評量工具(可複選)：
4 具策劃及執行專題研究之能力(Be able to plan and execute projects.)
為何有關：
達成指標：
評量工具(可複選)：
5 具有溝通、協調、整合及進行跨領域團隊合作之能力(Have communication, coordination, integration skills and teamwork in multi-disciplinary settings.)
為何有關：
達成指標：
評量工具(可複選)：