C1_W2_Lab03_Feature_Scaling_and_Learning_Rate (Multi Variable)

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification
26

Hello, @qihua-william,

Because w0 is not the iteration’s weight before-updated, instead, it is after-updated. We need to verify them this way:

image

Cheers,
Raymond

PS: This reason could be found by inspecting the run_gradient_descent() 's source code which is available on Cousera. Let us know if you need the steps to open the source code.

1 Like