Gradient Descent Method Python
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 machine learning, we use gradient descent to update the parameters of our model. Parameters refer to coefficients in Linear Regression and weights in neural networks.
Implement gradient descent in your favorite coding language
Running: Change X and T parameters in the program file with custom inputs.
Run Command Py gradientDescentMethod.py Input: Python File Output: Display gradientDescentMethod(x,t)