I am a student outside the EE department, can I register in the class?
Yes, you are welcome to register. For graduate students outside our EE department, you can fill in
and ask approval from both your supervisor and the course instructor during the add/drop period.
Is this course hard for undergrad students?
The course is designed for senior undergrad and graduate students. It is not for the faint of heart. However, we will show lots of interesting cases and hands-on experience about deep learning models. Some part of the lectures requite calculus and linear algebra, but we will walk you through those knowledge. We think for undergrads, you will learn a lot at the end of the course through lectures, tutorials and the final project.
I have a question about the class. What is the best way to reach the course staff?
Course attendants please use the WeChat group discussion (link above), so that other students may benefit from your questions and our answers. If you have a personal matter regarding the course, email us at the class mailing list email@example.com.
Will I get charged using the Amazon EC2 service?
The final project and some tutorials will involve some GPU implementation. For those registered students who do not have the resource, we recommend using Amazon EC2 service, which provides a GPU-equipped server environment. Details will be covered at the tutorial. At the end of this course, we will cover some of your cost with the invoices. The maximum amount we can reimburse to you is 20 USD/person.
Can I audit or sit in?
In general we are very open to sitting-in guests.
Out of courtesy, we would appreciate that you first email us or talk to the instructor after the first class you attend. If the class is too full and we're running out of space, we would ask that you please allow registered students to attend.
Can I work in groups for the Final Project?
No. The final project is done individually and details will be announced later.