深度學習和生成式人工智慧導論

臺北科技大學 114-2 學期課程，課號 356075。

• 學期：114-2
• 授課教師：曾恕銘
• 學分：3
• 選修
• 上課時段：週五 5、6、7 節

課程大綱

本課程程主要為介紹深度學習(DL)和生成式人工智慧(GAI)概念和基本原理。通過掌握這些原理，學生能了解可能極限，更能思考深度學習和和生成式人工智慧的應用。 This course mainly introduces the concepts and basic principles of deep learning (DL) and generative artificial intelligence (GAI). By mastering these principles, students can understand the limits of what is possible and be better able to think about the applications of deep learning and generative artificial intelligence.

課程進度

introduction deep learning&DNN Learning Methods: supervised, unsupervised, and reinforcement learning CNN RNN (optional) Transformer autoencoder (optional) Deep Reinforcment Learning generative artificial intelligence (GAI) introduction GAI prompt engineering (提示工程) and context engineering (上下文工程) in times of AI agent GAI LLM training GAI & Transformer (optional) GAI generation policy image/video GAI (optional)

評量方式

oral report 20% Midterm Exam 30% or DL mini-project GAI final project 50% Course participation (Attendance, Q&A) extra10%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：否 handouts