Introduction to Intelligent Systems (Spring, 2017)

강의노트

1. Computer Vision 소개

2. Machine Learning AI 소개

3. 전통적인 접근법

4. TesnsorFlow로 NN 실험

5. TensorFlow로 Regression 실험

6. CNN Motivation

7. AlexNet

8. Understanding CNN

9. Backpropagation-1

10. Backpropagation-2

11. SGD

12. Reinforcement Learning

13. AlphaGo

[기타]

1. Server 사용법