- schedule : http://cs231n.stanford.edu/schedule.html
- 매주 목요일 자정까지 리뷰해서 노션에 게시
| Date | Lecture | title | click icon! |
|---|---|---|---|
| 24.01.25 | Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition |  |
| 24.02.01 | Lecture 2 | Image Classification | |
| 24.02.08 | Lecture 3 | Loss Functions and Optimization | |
| 24.02.15 | Lecture 4 | Introduction to Neural Networks | |
| 24.02.22 | Lecture 5 | Convolutional Neural Networks | |
| 24.02.29 | Lecture 6 | Training Neural Networks I | |
| 24.03.07 | Assignment1 | Assignment1 | |
| 24.03.14 | Lecture 7 | Training Neural Networks II | |
| 24.03.21 | Lecture 8 | Deep Learning Software | |
| 24.03.28 | Lecture 9 | CNN Architectures | |
| 24.03.04 | Lecture 10 | Recurrent Neural Networks | |
| 24.04.11 | Assignment2 | Assignment2 | |
| 24.04.18 | Lecture 11 | Detection and Segmentation | |
| 24.04.25 | Lecture 12 | Visualizing and Understanding | |
| 24.05.02 | Lecture 13 | Generative Models | |
| 24.05.09 | Lecture 14 | Deep Reinforcement Learning | |
| 24.05.16 | Lecture 15 | Efficient Methods and Hardware for Deep Learning | |
| 24.05.23 | Lecture 16 | Adversarial Examples and Adversarial Training | |
| 24.05.30 | Assignment3 | Assignment3 |