UPDATE:
Catalog Description: Overview of machine learning and
its applications. Loss functions, numerical optimization and
back-propagation. Fundamentals of feedforward neural networks. Modern
architectures and techniques for training deep networks. Convolutional
neural networks: basics, visualization, and techniques for efficient
spatial localization in images. Recurrent neural networks and their
variants. Applications of recurrent neural networks in language and image
understanding, and image captioning. Recent advances in generative models
learning, generative adversarial networks and variational auto encoders.
Unsupervised and self-supervised representation learning. Deep
reinforcement learning.
Recommended Books:
Assessment Methods:
Homework | 20% |
Literature Survey and Presentation | 10% + %5 |
Midterm:Essay/written | 30% |
Project | 35% |
Any of the following will directly result in an F grade:
Passing Grade: No predetermined grade to pass the course.
Makeup Policy: Medical report holders will be entitled for the midterm make up. Makeup exam will be comprehensive.
Homework:
Please
follow this link to access the homework details. Homework
details/materials are accessible only within Bilkent network. Use VPN to
access from home.
Literature Survey and Presentation:
Project:
Template for the Reports:
All reports (including homework report) must be prepared using the IEEE double-column transactions article template
(i.e. "bare_jrnl.tex").
Important Dates:
Event | Date / Deadline |
Midterm Exam | 01 December 2023, 13:30 |
Literature Survey Proposal submission [subject line: cs559_2023f_survey] |
29 September 2023, 23:59 |
Literature Survey Report submission (including the presentation) [via Moodle] |
06 December 2023, 23:59 |
Literature Survey Presentation | 06 December 2023 08 December 2023 |
Homework submission (including the report) [via Moodle] |
04 December 2023, 23:59 |
Project Proposal submission [subject line: cs559_2023f_project] |
2 October 2023, 23:59 |
Project Progress Presentation | 22 November 2023 |
Project Progress Report submission (including the report and presentation) [via Moodle] |
23 November 2023, 23:59 |
Project Final Presentation | 15 December 2023 20 December 2023 |
Project submission (including the report and presentation) [via Moodle] |
16 December 2023, 23:59 |
Tentative Schedule & Lecture Notes:
Lecture notes below are downloadable only within Bilkent
network. Use VPN to
access from home.