1039 - Deep Learning 英授 Taught in English
Deep Learning
教育目標 Course Target
This course aims to equip students with the core theories and practical applications of deep learning. Students will understand the mathematical foundations and mechanisms of neural networks, explore mainstream model architectures, and develop hands-on skills to build, train, and optimize models using leading frameworks. Ultimately, students will be able to apply deep learning technologies to fields such as computer vision and natural language processing to solve complex real-world problems.
This course aims to equip students with the core theories and practical applications of deep learning. Students will understand the mathematical foundations and mechanisms of neural networks, explore mainstream model architectures, and develop hands-on skills to build, train, and optimize models using leading frameworks. Ultimately, students will be able to apply deep learning technologies to fields such as computer vision and natural language processing to solve complex real-world problems.
參考書目 Reference Books
1.DEEP LEARNING 作者：Ian Goodfellow ; Yoshua Bengio ; Aaron Courville
2.深度學習 - 影像處理應用 作(編/譯)者：彭彥璁、李偉華、陳彥蓉
1.DEEP LEARNING Author: Ian Goodfellow; Yoshua Bengio; Aaron Courville
2. Deep Learning - Image Processing Application Authors (editors/translators): Peng Yancong, Li Weihua, Chen Yanrong
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
期中考 midterm exam |
20 | |
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期末考 final exam |
20 | |
|
小考和作業 Quiz and homework |
60 |
授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 1039
- 學分 Credit: 3-0
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上課時間 Course Time:Thursday/2,3,4[HT102]
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授課教師 Teacher:李品慧
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修課班級 Class:資工系2-4
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選課備註 Memo:資工系國際組；全英授課
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