本課程希望透過老師與助教群提供學生手把手的方式，從AI基本觀念到相關理論概述、應用範例說明與動手實作，進而提供老師參與過的產學合作實際案例資料，讓學生能從理論到實務都能充分學習，真的具備動作解決問題的能力。同時透過實際產學案力與資料，學生能了解產業問題與理論的落差，進而培養學生協助產業AI化的能力。This course hopes to provide students with a step-by-step approach through teachers and teaching assistant groups, from basic AI concepts to relevant theory overview, application example description and manual practice, and then provide teachers with actual case data on the actual cooperation of their students in the industry, so that students can fully learn from theory to practice, and really have the ability to move and solve problems. At the same time, through the international production capacity and data, students can understand the gap between industry problems and theoretical discussions, and thus cultivate students' ability to assist in the AI of the industry.
深度學習：
作者： Josh Patterson, Adam Gibson
譯者： 藍子軒
出版社：歐萊禮
In-depth learning:
Author: Josh Patterson, Adam Gibson
Translator: Blue Roll
Publisher: Ole Leather
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業作業 Action |
40 | 案例示範作業 |
| 期末專題期末專題 Final topics |
40 | 資料分析專題或發表 |
| 課堂報告課堂報告 Class Report |
20 | 案例討論 |
