https://curt-park.github.io/2018-09-19/loss-cross-entropy/
[손실함수] Binary Cross Entropy
확률, 정보이론 관점에서 살펴보는 Binary Cross Entropy 함수
curt-park.github.io
https://3months.tistory.com/436
Cross-entropy 의 이해: 정보이론과의 관계
Cross-entropy 의 이해: 정보이론과의 관계 1. 손실함수로서의 Cross-entropy 딥러닝에서 분류 모델에 대한 손실 함수로 cross-entropy 혹은 binary entropy 나 log loss 라는 것을 사용하게 된다. 손실함수로서의..
3months.tistory.com
https://machinelearningmastery.com/cross-entropy-for-machine-learning/
A Gentle Introduction to Cross-Entropy for Machine Learning
Cross-entropy is commonly used in machine learning as a loss function. Cross-entropy is a measure from the field of information theory, building upon entropy and generally calculating the difference between two probability distributions. It is closely rela
machinelearningmastery.com
'Dic' 카테고리의 다른 글
| embedding (0) | 2019.07.24 |
|---|---|
| Distance Metric Learning (0) | 2019.07.24 |
| likelihood (0) | 2019.07.24 |
| Maximum likelihood estimation (0) | 2019.07.24 |
| Hard negative mining (0) | 2019.07.23 |