清華大學訓練課程

歡迎報名參加清大計通中心舉辦MATLAB訓練課程,請選擇最適合您的內容報名參加。
報名前請確認可全程參與較佳,報名請至 https://forms.gle/jY6rimK3QhS4hfQe6

《 上課地點 》: 計算機中心電腦教室
《 聯絡窗口 》: inquiry@cc.nthu.edu.tw 校內分機31231江小姐


利用MATLAB於GPU 進行影像處理

上課日期 : 2025/11/27(四)  / 上課時間 : 13:30-16:30

深度學習技術近年來發展越趨成熟,也在語音辨識及影像辨識應用上有不錯的表現。本課程以影像辨識應用為例,展示MATLAB如何快速開發具有影像辨識能力的深度學習模型,並搭配使用GPU加速模型訓練。

  • What is Deep Learning?
  • Layers in Convolution Neural Network
  • Image classification using pre-trained network
  • Train a new model
  • Object detection

基於MATLAB的最佳化技術

上課日期 : 2025/11/28(五)  / 上課時間 : 13:30-16:30

本課程介紹MATLAB與最佳化相關的工具:最佳化工具箱及全域最佳化工具箱。課程包含將問題公式化、選擇合適的最佳化函式求解、以及使用互動式之使用者圖形介面(GUI)求解最佳化問題。學員可透過實用範例與上機練習了解其重要概念。

  • Applied Optimization
  • Specifying the Objective Function
  • Choosing a Solver
  • Global Optimization
清華大學訓練課程

※Please note: This workshop will be conducted in Mandarin※
Join us for MATLAB Training Courses, please refer to following section for more workshop details.

《 Venue 》CCC – Computer Laboratory

Any inquiries,
please mail to the following address: inquiry@cc.nthu.edu.tw or call Miss Chiang at campus ext.31231

Focus on software fundamental skills, perfect for beginner and any faculty.
Registration : https://forms.gle/jY6rimK3QhS4hfQe6


Image Processing on GPU with MATLAB

Date : 2025/11/27(Thu)  / Time : 13:30-16:30

In recent years, deep learning technologies have rapidly advanced and shown excellent performance in applications such as speech and image recognition. This course focuses on image recognition as an example to demonstrate how MATLAB enables the rapid development of deep learning models with image recognition capabilities while leveraging GPU acceleration to speed up model training.

  • What is Deep Learning?
  • Layers in Convolution Neural Network
  • Image classification using pre-trained network
  • Train a new model
  • Object detection

Optimization Techniques Using MATLAB

Date : 2025/11/28(Fri)  / Time : 13:30-16:30

This course introduces MATLAB tools for optimization, including the Optimization Toolbox and the Global Optimization Toolbox. The content covers problem formulation, selecting appropriate optimization solvers, and using interactive graphical user interfaces (GUIs) to solve optimization problems. Through practical examples and hands-on exercises, participants will gain a solid understanding of key optimization concepts.

  • Applied Optimization
  • Specifying the Objective Function
  • Choosing a Solver
  • Global Optimization