This article aims to share with you some methods to implement linear regression on a real dataset, which includes data including, data analysis, datasets split and regression construction itself. To learn PyTorchwell, I'd demonstrate regression by PyTorchand show you the charm of PyTorchin forward and backward. This story has a hypothesis that all the readers have been familiar with the principle of linear regression. Readers should understand the meaning and solution methods of W and b of the equation Y XW b. To have a better experience, it's better to understand the gradient descent method that can be used to solve the problem and understand the MSE used to evaluate the regression performance.
Nov-8-2019, 20:53:37 GMT