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Vision Summer School

Artificial Intelligence is becoming ubiquitous, and has recently been massively popularized to the layperson through general models such as DALL-E for image generation and ChatGPT for dialog comprehension. Undergraduate students are becoming eager to try out projects in this field, but lack the training required to understand the underlying mechanisms of these models, since proper AI courses are only really available during specialized masters programmes.

The goal of this summer school is to provide a structured introduction to deep learning for computer vision, providing students with a high-level overview of the field, the tools of the trade, and potential applications in academia and industry. The target audience is geared towards undergraduate computer science students in years 1 to 3.

Team

Timetable

Teaching schedule
Monday Tuesday Wednesday Thursday Friday
8 - 10 Opt3
(EG405a)
Andrei
341C5b
(EG405a)
Cezar
342C5b
(EG405a)
Mircea
Opt4
(EG405a)
Ioana
-
10 - 12 - 341C5a
(EG405a)
Andy
- - -
12 - 14 - - 342C5a
(EG405a)
Vlad
- -
14 - 16 - - - - -
16 - 18 - - - - -
18 - 20 - 343C5b
(EG405a)
X
Lecture
(EC004)
Emilian
344C5b
(EG405a)
Sebastian
-
20 - 22 - 343C5a
(EG405a)
X
- 344C5a
(EG405a)
Sebastian
-

343C5 can choose any of the other time slots.

vss.1688839167.txt.gz · Last modified: 2023/07/08 20:59 by emilian.radoi
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