深度學習應用
Deep Learning Applications
| 節 | 週一 |
|---|---|
3 10:10–11:00 | 深度學習應用 YL403 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
本課程將介紹目前深度學習成熟之應用領域,並且讓學生進行相關技術實作,如人臉辨識、醫學影像辨識以及語音辨識等技術。The course aims to give an introductory the popular applications of Deep Learning, and Deep Learning frameworks. The goal of this course is to give you the foundations for developing applications based on Deep Learning technologies. We will introduce some applications, such as face recognition, medical image classification, Speech Recognition, and so forth.
(1) Python Programming (2) Basic Concept of Deep Learning
本課程主要為教授深度學習技術廣為應用的領域,透過不同領域的應用讓學生更為暸解深度學習技術的特性,未來更能掌握此項技術並且能夠發展相關應用。課程中將會透過實際應用講解以及操作相關技術,學習如何發展深度學習應用。The purpose of this course is to provide the applications of Deep Learning. Students will know the features of Deep Learning technologies, and are able to develop application by usng them. They will learn the implementation of Deep Learning through the real-world applications.
期中報告: 30% 期末專題: 40% 出席: 10% 作業: 20% Midterm Report: 30% Final Project: 40% Attendance: 10% Homework: 20%
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Deep Learning |
| 第 2 週 | Deep Learning for Face Recognition (1) |
| 第 3 週 | Deep Learning for Face Recognition (2) |
| 第 4 週 | Deep Learning for Face Recognition (3) |
| 第 5 週 | Deep Learning for Emotion Recognition (1) |
| 第 6 週 | Mid-Autumn Festival |
| 第 7 週 | Deep Learning for Emotion Recognition (2) |
| 第 8 週 | Midterm Report |
| 第 9 週 | Deep Learning for Pose Detection (1) |
| 第 10 週 | Deep Learning for Pose Detection (2) |
| 第 11 週 | Deep Learning for Medical Image Processing (1) |
| 第 12 週 | Deep Learning for Medical Image Processing (2) |
| 第 13 週 | Deep Learning for Speech Recognition (1) |
| 第 14 週 | Deep Learning for Speech Recognition (2) |
| 第 15 週 | Final Project Presentation |
| 第 16 週 | Final Project Tuning |
| 第 17 週 | Final Project Tuning |
| 第 18 週 | Final Project Tuning |
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- 地點
- 守仁樓三樓327-2室
- 聯絡方式
- Email聯繫: clhung@nycu.edu.tw