人工智慧正在改變不同行業，深度學習是近期人工智慧討論度最高的知識領域，本課程將以機器學習、深度學習為基礎，探討不同案例情境下的解決方案，並且透過課程中的演練以及學生小組討論，提出不同切入觀點，讓學生在不同案例學習到不同經驗。課程中不同的章節教學內容皆包含基礎簡介、資料處理工程、實務案例實作與小組討論；資料處理工程主要以資料探勘原理出發，包括資料處理工程觀念，關聯的資料收集、資料清理與篩選、資料儲存與索引，以及資料結構化等，並介紹相關使用工具；章節主要包括深度學習簡介、影像辨識Image Recognition、物件偵測Object Detection、計數分析Object Counting、自動編碼 Autoencoder、社群文字分析、物件追蹤Object Tracking、物件檢測Defect Detection等。課程主要目標培育AI人才實作與經驗。Artificial intelligence is changing to different industries. In-depth learning is the most highly discussed knowledge field in recent artificial intelligence. This course will be based on machine learning and in-depth learning to explore solutions in different case scenarios. Through the course's performance and student group discussion, different entry points are proposed to allow students to learn from different experiences in different cases. The teaching contents of different chapters in the course include basic introduction, data processing engineering, practical case implementation and group discussion; data processing engineering is mainly developed based on the principle of data exploration, including data processing engineering concepts, related data collection, data cleaning and screening, data storage and indexing, and data structure, and introduces related usage tools; chapters mainly include in-depth learning introduction, image recognition Image Recognition, object detection Object Detection, Object Analysis Object Counting, Autoencoder, community text analysis, object tracking, object tracking, object detection, etc. The main purpose of the course is to cultivate AI talents' implementation and experience.
1. 自行編輯投影片教材
2. MIT Deep Learning
By Ian Goodfellow, YoshuaBengio, Aaron Courville
https://github.com/janishar/mit-deep-learning-book-pdf
1. Edit the projection film textbook by yourself
2. MIT Deep Learning
By Ian Goodfellow, YoshuaBengio, Aaron Courville
https://github.com/janishar/mit-deep-learning-book-pdf
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業作業 Action |
50 | |
| 專題報告專題報告 Special Report |
40 | |
| 課堂表現課堂表現 Classroom performance |
10 |
