Front Page
Welcome to the Canvas Site for DD2424, 2021
Important announcement.
The lectures for this course will be live-streamed using zoom according to the Schedule. We will record the lectures and make them available on Canvas after the live stream. The same zoom link will be used through out the course for the lectures and is available on Lecture Schedule and Material .
Course Goals
The course begins on March 22, 2021. We are looking forward to introducing you to the exciting field of deep learning and also teaching you the nitty gritty details so that at the end of the course you will
- feel confident implementing and training networks from scratch,
- have the ability to read many research papers in the paper and understand what they are talking about,
- have gained experience using the most popular deep learning software packages.
Before March 22 I will be updating information on the website. So please check again next week (starting March 22) if there is information you are looking for but have not found yet.
Material and Information available on this Canvas Webpage
Provided Learning Material
- Lecture Schedule & Material - contains the schedule and the slides to all the lectures given in the course.
- Online educational resources about deep learning - contains links to online resources providing auxiliary and complementary learning resources to the lecture slides and assignments.
GPU Resources & Information
- Information about available GPU resources - information about the GPU resources available to the course.
- Information about Deep Learning software packages
Scheduling Information
- Schedule for Help Sessions - contains the date and location of the Help Sessions.
- Tutorial -- Joining a Help Session - this page contains instructions about how to join a help session via zoom.
Assignments & Project Information
- Assignment 1
- Assignment 2
- Assignment 3
- Assignment 4
- Information about the project
- Virtual Poster Session (May 27)
- Re-exam Virtual Poster Session
- Project Information for PhD students
General Information
- FAQ - contains answers to the most common high-level admin questions we get.
- Profile of TAs - has a brief bio and expertise guide for each TA