Gradient Descent for 2D data

Gradient Descent

Gradient Descent is a optimization technique

In previous class we study about OLS to find m and b and you know that the y=mx+b is line of linear regression

Steps to apply Gradient Descent

1. Initialize value of m and b with random value

2. for i in epochs:

a. gradient descent formula -> p=p-lr*dl/dp

We have to apply these Steps for all the parameter.

Always remember gradient is dl/dp.

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