CS 638 and CS 838 - Building Deep Neural Networks
Office: 6393 CS Building
Office Hours: Tuesday 2-4pm (also for undergraduate advising 3-4 PM). Also by appointment (send email).
Teaching Assistant: Yuting Liu
Office: 1308 CS Building
Office Hours: Wednesday 3:30-4:30pm. Also by appointment (send email).
Table of Contents
Course Overview and Requirements
Labs 1, 2, and 3, plus class project second half of the term.
The course will be graded on the conventional (A-F) system.
Use Moodle to turn in your code and reports. It is fine to discuss design, data structures, and algorithms with others in the class, but only members of the same two or four-person group can share actually code unless explicitly authorized by the course's instructor.
- Introduction to Deep Learning textbook by Goodfellow et al. (linked above).
- Review neural-network chapters from cs540 or cs760.
- Quiz (perceptrons and backpropagation; convolution, max pooling, and drop out): TBA (only for students, if any, with insufficient project progress by April 14)
ONE (8.5x11) page of notes (you can write on both sides of sheet) and a calculator allowed.
Available Software and Free 'Cloud' Accounts for Students [DRAFT]
Some General Articles and Sites
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