| 4th January, 2021 |
(cs229) Lecture 2: Linear Regression and Gradient Descent |
Junseok Ha |
video |
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| 4th January, 2021 |
(cs229) Lecture 3: Weighted Least Squares. Logistic regression. Newton's Method |
Minho Park |
video |
note |
| 11th January, 2021 |
(cs229) Lecture 4: Perceptron. Exponential family. Generalized Linear Models |
Minjung Kim |
video |
note |
| 18th January, 2021 |
(cs231n) Lecture 2: Image Classification |
Yeojeong Park |
video |
note |
| 18th January, 2021 |
(cs231n) Lecture 3: Loss Functions and Optimization |
Jaesung Lee |
video |
note |
| 25th January, 2021 |
(cs231n) Lecture 4: Introduction to Neural Networks |
Soonjoon Kwon |
video |
note |
| 25th January, 2021 |
(cs231n) Lecture 5: Convolutional Neural Networks |
Dongyeon Woo |
video |
note |
| 1st February, 2021 |
(cs231n) Lecture 6: Training Neural Networks, part 1 |
Yuri Kim |
video |
note |
| 1st February, 2021 |
(cs231n) Lecture 7: Training Neural Networks, part 2 |
Seungwoo Ryu |
video |
note |
| 15th February, 2021 |
(cs231n) Lecture 9: CNN Architectures |
Dongmin Yoo |
video |
note |
| 15th February, 2021 |
(jchoo) Week10: Self-Supervised Learning (1) (2) (3) slide |
Chan Lee |
video |
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| 22th February, 2021 |
(cs231n) Lecture 10: Recurrent Neural Networks |
Jaeyoon Chun |
video |
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| 22th February, 2021 |
(lecun) Week 12: Deep Learning for NLP & Transformer |
Dongyun Hwang |
video |
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| 1st March, 2021 |
(cs231n) Lecture 13: Generative Models |
Jaeun Jeong
Hanyeol Lee |
video |
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