7-5. Linear regression wtih gradient descent

2019. 4. 3. 16:20

・한점x - 러닝레이트a * 한점x에서의 기울기

・w0값 갱신 -> w1값 갱신 -> 갱신된 값을 동시에 w0식과 w1식에 넣음 -> ...(O)

w0값 갱신 -> 갱신된 값을 w1식에 넣음 -> w1값 갱신 (X)

8-1. Stochastic gradient descent(SGD)-linear regression, full-batch linear regression, stochastic gradient descent, mini-stochastic gradient descent (0)	2019.04.15
7-6. Linear regression implementation wtih Numpy, 7-7. Multivariate linear regression models, 7-8. Performance measure for a regression model(mean absolute error, RMSE, R square) (0)	2019.04.08
7-4. Gradient descent approach (0)	2019.03.29
7-3. Normal equation (0)	2019.03.26
7-2. cost function (0)	2019.03.25

가치관제작소