Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2018	249081	Neural Network	1	3.0	3	★	CHEN WEN-HUI	GAT	8	0

Course Plan：

Instructor	CHEN WEN-HUI
Email	whchen@ntut.edu.tw
Last Updated	2018-08-13 21:04:04
Course Objective	This course aims to learn artificial neural networks and how they are being used for machine learning. I will emphasize both the theoretical algorithms and the practical applications. 因老師請假至日本參加會議，9/12 當天不用上課，補課時間另行通知。 第一次上課自9/19開始。 (No class on September 12. The first day of this class is on September 19)
Course Schedule	1. Neural Networks Basics 2. Perceptrons 3. Hopfield Nets 4. Restricted Boltzmann machines (RBMs) 5. Deep Neural Networks, including CNNs, RNNs, DQNs, GANs 6. Recent Development and Applications of Deep Neural Networks 7. Project Presentations
Evaluation and grading policy	1. Participation and Assignments: 30% 2. Midterm 20% 3. Final 20% 4. Term Project 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Lecture Notes & Selected Readings
The access to curricular consultation
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