Gradient descendent for linear regression We already talk about linear regression which is a method used to find the relation between 2 variables. It will try to find a line that best fit all the ...

They are the mandatory parameters that need to be set while compiling a deep learning model. How to implement Gradient Descent in python? Now we will see how gradient descent can be implemented in ...

Definition:Gradient descent is an optimization algorithm used to minimize some function by iteratively moving in the direction of steepest descent as defined by the negative of the gradient. In ...

All work is already available in python libraries like SK-learn, whose different models use gradient descent to optimize their weights. Anant is a consulting intern at Marktechpost. He is an ...