Deep Learning for Computer Vision 2023/24 spring

Lectures

Lectures will be held on Wednesday 10:15 - 12:00 in 1007.
Zoom link to lectures: (log into courses to see link)

Practice sessions

All practice sessions are held right after the lecture on Wednesday 12:15 - 14:00 in room 1007.
Zoom link for practice sessions: (log into courses to see link) (the same as for the lectures)

In practice sessions we will be working in Colab, Python 3 and from one point with PyTorch. Ideally, familiarize yourself with NumPy, Pandas and Colabs before the practice sessions.

The schedule

The following schedule is subject to change. Please check Slack for announcements.

Lecture #	Date	Title	Slides	Recordings	Notebook
Lecture 01	February 14	Introduction to course and CV	(log into courses to see link)	lecture, practice	(log into courses to see link)
Lecture 02	February 21	Deep Dive into CNNs (part I)	PDF	lecture, practice	ipynb
Lecture 03	February 28	Deep Dive into CNNs (part II) + Kahoot	PDF	lecture, practice	ipynb
Lecture 04	March 6	Advanced topics in CV: object detection	PDF	lecture, practice	ipynb
Lecture 05	March 13	Advanced topics in CV: segmentation + Kahoot	PDF	lecture, practice	ipynb
Lecture 06	March 20	Vision Transformers (part I)	PDF	lecture, practice	ipynb
Lecture 07	March 27	Vision Transformers (part II)	PDF	lecture, practice	ipynb
Lecture 08	April 3	Image Generation (part I)	PDF	lecture, practice	ipynb
Lecture 09	April 10	Image Generation (part II) + Kahoot	PDF	lecture, practice	ipynb
Lecture 10	April 17	Deployment (Mikhail Iljin from Better Medicine)	PDF	lecture, practice	github
Lecture 11	April 24	CV Industry landscape in Estonia (Ardi Tampuu)	PDF	lecture	...
Lecture 12	May 1	Public holiday - no classes
Lecture 13	May 7	Computer Vision in Medicine	PDF	lecture, practice	ipynb (II part)
Lecture 14	May 14	Explainable AI	PDF	lecture, practice	ipynb
Lecture 15	May 21	Ethical AI research	PDF	lecture	...
Lecture 16	May 29	Final project presentations			presentations