Coursera Machine Learning으로 기계학습 배우기 : week5
0 likes43 views
The document outlines the author's learning process through the Coursera Machine Learning course, specifically focusing on Week 5. It aims to solidify concepts learned and includes Korean annotations on slides for better understanding, emphasizing high school level mathematics. Key topics discussed include cost functions, backpropagation, implementation notes, and gradient checking.
![Implementationnote:UnrollingParameters(6/7)
>> Theta3 = 3*ones(1,11)
Theta3 =
3 3 3 3 3 3 3 3 3 3 3
>> thetaVec = [Theta1(:); Theta2(:); Theta3(:)];
>> size(thetaVec )
ans =
231 1
23](https://image.slidesharecdn.com/week5-1-181020203104/85/Coursera-Machine-Learning-week5-23-320.jpg)
Coursera Machine Learning으로 기계학습 배우기 : week5
- 21. Implementationnote:UnrollingParameters(4/7) 직접옥타브로실습하여어떤개념인지구체적으로이해해보자. >> Theta1 = ones(10,11) Theta1 = 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 21
- 22. Implementationnote:UnrollingParameters(5/7) >> Theta2 = 2*ones(10,11) Theta2 = 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 22
- 23. Implementationnote:UnrollingParameters(6/7) >> Theta3 = 3*ones(1,11) Theta3 = 3 3 3 3 3 3 3 3 3 3 3 >> thetaVec = [Theta1(:); Theta2(:); Theta3(:)]; >> size(thetaVec ) ans = 231 1 23
- 24. Implementationnote:UnrollingParameters(7/7) thetaVec에서세타1으로사용할행렬을reshape을통해추출할수있다. >> reshape(thetaVec(1:110), 10, 11) ans = 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 24