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 |
- |
|