在今日的演講中，講者林威延博士對無程式碼AI的發展進行深入剖析，首先即探討深度學習的架構，並以電腦視覺為例，說明深度學習的運算做為學習模型和產業應用的橋樑。再進一步談及今日之演講主題-無程式碼的人工智慧開發，其不僅加速開發過程、減少成本外，更開啟了人工智慧與其它領域結合的可能性，不論是在印刷電路板製造上的瑕疵檢測，或是石化產業上產品良劣的檢驗，都是無程式碼AI成功發展的案例，讓人工智慧在不同產業的工程應用上發揮其價值。
撰寫者：碩士生易昌旻
In the speech today, the speaker Dr. Wei-Yen Lin analyzed the development of no-code AI. Firstly, he talked about the architecture of deep learning and took computer vision as an example to illustrate that the operation of deep learning can be a bridge between learning models and industrial applications. Furthermore, the speech topic – no-code artificial intelligence development, was discussed, which not only accelerates the development process and reduces costs, but also creates the possibility to combine artificial intelligence with other fields. Whether tests for defects in the manufacture of printed circuit boards or the inspection of good and bad products in the petrochemical industry, are successful examples of the development of no-code AI, allowing artificial intelligence to realize its value in engineering applications.
Author: Master student: Chang-Min Yi