115年第1學期-1039 Deep Learning 課程資訊

評分方式

評分項目 配分比例 說明
期中考 20
期末考 20
小考和作業 60

選課分析

本課程名額為 70人,已有0 人選讀,尚餘名額70人。


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授課教師

李品慧

教育目標

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.

課程資訊

參考書目

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

開課紀錄

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