목록Study (5)
엘지노 프로젝트
Neural Network 적용 전에 Input data를 Normalize 해야 하는 이유
학습을 더 빠르게 도와줌 https://www.coursera.org/learn/machine-learning/lecture/xx3Da/gradient-descent-in-practice-i-feature-scaling https://stackoverflow.com/questions/4674623/why-do-we-have-to-normalize-the-input-for-an-artificial-neural-network http://goodtogreate.tistory.com/entry/Neural-Network-%EC%A0%81%EC%9A%A9-%EC%A0%84%EC%97%90-Input-data%EB%A5%BC-Normalize-%ED%95%B4%EC%95%BC-%ED%95%98%EB%8A%94-%..
Study/Machine Learning | Deep Learning
2018. 12. 31. 12:34
Week 4 - Neural Networks: Representation
Coursera 강좌 링크 - Neural Networks: Representation
Study/Machine Learning-Coursera
2018. 8. 13. 16:58
Week 3 - Logistic Regression, Regularization
Coursera 강좌 링크 - Logistic Regression- Regularization
Study/Machine Learning-Coursera
2018. 8. 13. 16:55
Week 2 - Linear Regression with Multiple Variables
Coursera 강좌 링크 - Linear Regression with Multiple Variables
Study/Machine Learning-Coursera
2018. 8. 13. 16:53
