國立臺南大學應用數學系

講   題: How to Learn Deep Learning?(如何學習人工智慧-深度學習?)
演講者: 連震杰 教授 (成功大學資訊工程系)
時   間: 108/5/29 (三) 下午 2:00-4:00
地   點: 府城校區 格致樓C305室
摘   要: Based on the developing history of deep learning from 1989 to now, this talk will not only introduce the reason why deep learning is getting important but also its relationship with industry 4.0: Smart manufacturing. How to efficiently learn deep learning in computer vision application? It is better to learn OpenCV consisting of 1) Image processing – Convolution, 2) Computer vision, and 3) Machine learning. After explaining some fundamental deep learning technologies, I would like to introduce some recent results of Robotics Lab at NCKU, such as visual-guided robot arm control and automatic optical inspection (AOI) for automation and smart manufacturing applications.

本次演講可登錄通識點數乙點。