2019 HBNU Ai Class (20020135)
week 1
Orientation
week 2
Ch02 Introduce Of Deep Learning [slide]
week 3
Ch03 Linear Regression [slide]
week 4
Ch04 Rogistic Regression [slide]
week 5
Ch05 Backpropagation [slide]
week 6
Ch06 Convolution Neural Networks [slide]
week 7
Ch07 Advanced CNN [slide]
Reference
강의 자료는 아래의 자료를 참고하여 제작되었습니다.
- Stanford Univ. CS231n - http://cs231n.stanford.edu
- Andrew Ng’s Lecture - https://www.deeplearning.ai/
- Sung Kim’s Lecture - http://hunkim.github.io/ml/
- Kaist Standalone-DeepLearning - https://github.com/heartcored98/Standalone-DeepLearning/