本課程的目的是讓學生了解前饋式與遞迴式神經網路設計原理，及其在計算科學、監督式學習系統、非監督式學習系統與最佳化領域的應用。
The purpose of this course is to enable students to understand the principles of feedforward neural network design, recurrent neural network design, and its applications to computing science, supervised learning systems, unsupervised learning systems, and optimization.
先修科目Prerequisites
無
None
教學方式Teaching Methods
講課
Lecturing
學生上台報告、角色演練
Oral presentation, Role playing
評量方式Assessment
個人上台報告
Oral Report
出席狀況
Class attendance
課堂參與與表現
Class involvement
參考書目Reference
1. Simon O. Haykin, Neural Networks and Learning Machines, Prentice Hall, 3rd edition, 2008 (ISBN-13: 978-0131471399).
2. Satish Kumar, Neural Networks: A Classroom Approach, McGraw Hill Education, 2nd edition, 2012 (ISBN-13: 978-1259006166).