| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 3102105 | 深度學習與生成式人工智慧 | Deep Learning and Generative AI | 3.0 | 3 |
| 中文概述 Chinese Description | 教學目標使學生熟悉使用深度學習工具訓練類神經網路的技巧。課程內容主要包含：(1)深度學習訓練工具 (2)資料前處理與標註 (3)CNN卷積神經網路 (4)RNN遞歸神經網路 (5)GAN對抗生成網路 (6) Transformer 模型 (6)LLM 大型語言模型應用 | |||
| 英文概述 English Description | The objective of this course is to familiarize students with the techniques for training neural networks using deep learning tools. The main topics covered in this course include: 1.Deep learning training tools 2.Data preprocessing and annotation 3.Convolutional Neural Networks (CNNs) 4.Recurrent Neural Networks (RNNs) 5.Generative Adversarial Networks (GANs) 6.Transformer models 7.Applications of Large Language Models (LLMs) | |||
備註：