| 9/6 |
Introduction, AI Basics |
1 |
1,2 |
O |
| 9/13 |
AI Hardware, Big Data, Parallel Computing |
2 |
3,4 |
O |
| 9/20 |
Jetson Nano 기초 셋업 |
3 |
5, 15 |
O |
| 9/27 |
Machine Learning Fundamentals, Jetson Nano ML 실습 |
4 |
6,7 |
O |
| 10/4 |
Computer Vision Basics, Image Classification, Computer Vision with Jetson Nano |
5 |
8,9 |
O |
| 10/11 (동영상) |
Object Detection, Semantic Segmentation |
6 |
10,11 |
O |
| 10/18 |
Word Vector, Language Model, Self-Attention, Transformers |
7 |
|
O |
| 10/25 |
중간고사 |
8 |
- |
- |
| 11/1 |
Pre-trained Language Models, NLP 실습 |
9 |
23 |
△ |
| 11/8 |
Jetson Nano Speech Recognition, & Synthesis Speech 장비 설정 |
10 |
|
|
| 11/15 (동영상 보강 혹은 보강 예정) |
Pruning |
11 |
13,14,16 (실습) |
O |
| 11/22 |
Quantization |
12 |
17,18 |
O |
| 11/29 |
Transfer Learning, Parameter Efficient Fine-tuning |
13 |
11 |
O |
| 12/6 |
Remedial Class |
14 |
- |
- |
| 12/13 |
프로젝트 발표 |
15 |
- |
- |
| 12/20 |
기말고사 |
16 |
- |
- |