์ฃผ์ฐจ | ๋ ์ง | ๋ด์ฉ | ๋ฐํ์ | ๋ฐํ ์๋ฃ |
---|---|---|---|---|
1 | 22/08/30 | |||
2 | 22/09/06 | cs231n1๊ฐ Introduction to Convolution Neural Networks + cs231n 2๊ฐ Image Classification | ๋ฏผ์์ฐ, ํฉ์ฑ์, ๋ณ๊ท๋ฆฌ, ์์ฐ์ฐ | |
3 | 22/09/13 | cs231n 3๊ฐ Loss Functions and Optimization | ๊น๋์, ๊ณ ์ฃผ์ | |
4 | 22/09/20 | cs231n 4๊ฐ Introduction to Neural Networks | ๋ฐฑ์น๋ฏผ, ์ ์ง์ฐ | |
5 | 22/09/27 | cs231n 5๊ฐ Convolutional Neural Networks | ์กฐ์๋น, ๋ณ๊ท๋ฆฌ | |
6 | 22/10/04 | cs231n 6๊ฐ Training Neural Networks 1 | ์ก์ฌ์ง, ์์ฐ์ฐ | |
7 | 22/10/11 | ์ค๊ฐ๊ณ ์ฌ ํด์ | - | |
8 | 22/10/18 | ์ค๊ฐ๊ณ ์ฌ ํด์ | - | |
9 | 22/10/25 | cs231n 7๊ฐ Training Neural Networks 2 | ๊น๋์, ๋ฐฑ์น๋ฏผ | |
10 | 22/11/01 | ๋ ผ๋ฌธ ์คํฐ๋1 | ๊ณ ์ฃผ์, ์ ์ง์ฐ | |
11 | 22/11/08 | cs231n 9๊ฐ CNN Architectures | ์กฐ์๋น, ์์ฐ์ฐ | |
12 | 22/11/15 | cs231n 10๊ฐ Recurrent Neural Networks | ์ก์ฌ์ง, ๋ณ๊ท๋ฆฌ | |
13 | 22/11/22 | cs231n 11๊ฐ Detection and Segmentation | ๊น๋์, ์ ์ง์ฐ | |
14 | 22/11/29 | cs231n 12๊ฐ Visualizing and Understanding | ๊ณ ์ฃผ์, ๋ฐฑ์น๋ฏผ | |
15 | 22/12/06 | ๊ธฐ๋ง๊ณ ์ฌ ํด์ | - | |
16 | 22/12/13 | ๊ธฐ๋ง๊ณ ์ฌ ํด์ | - | |
17 | 22/12/20 | cs231n 13๊ฐ Generative Models | ์กฐ์๋น, ๊น๋์ | |
18 | 22/12/27 | cs231n 14๊ฐ Deep Reinforcement Learning | ์ก์ฌ์ง, ๋ณ๊ท๋ฆฌ | |
19 | 23/01/03 | ๋ ผ๋ฌธ ์คํฐ๋2 | ๊ณ ์ฃผ์, ๋ฐฑ์น๋ฏผ | |
20 | 23/01/10 | ๋ ผ๋ฌธ ์คํฐ๋3 | ์์ฐ์ฐ, ๊น๋์ | |
21 | 23/01/17 | ๋ ผ๋ฌธ ์คํฐ๋4 | ์กฐ์๋น, ์ก์ฌ์ง | |
22~ | 23/01/24~ | ํ๋ก์ ํธ ๊ธฐ๊ฐ | - |
Ewha-Euron/2022-2-Euron-CV
๐ถ๏ธ Euron 3๊ธฐ ์คํฐ๋ํ: ์ปดํจํฐ๋น์ ํ ๋ฐํ ์๋ฃ ์ ๋ฆฌ ๋ ํฌ์งํ ๋ฆฌ