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== 내용 == | == 내용 == | ||
* [https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/2%20-%20Basic%20Classifiers/logistic_regression.py Logistic Regression(Binary Regression)] | * [https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/2%20-%20Basic%20Classifiers/logistic_regression.py Logistic Regression(Binary Regression)] | ||
https://upload.wikimedia.org/math/8/e/a/8ea0a810cfcd0c3dfec49306e214e301.png | |||
* Softmax | * Softmax | ||
** exponential을 쓴다. | ** exponential을 쓴다. | ||
Revision as of 11:22, 7 May 2016
[[pagelist(^(머신러닝스터디/2016))]]
내용
https://upload.wikimedia.org/math/8/e/a/8ea0a810cfcd0c3dfec49306e214e301.png
- Softmax
- exponential을 쓴다.
- 항상 양의 값을 가지며 단조 증가한다는 특징을 가짐.
- 가장 중요한 것은 graph의 shape
후기
다음 시간에는
- Logistic Regression Live Coding?