Gradient Descent
Explore the gradient descent algorithm to understand how it iteratively minimizes functions by moving in the direction of the negative gradient. Learn the importance of the learning rate, initialization strategies, and how this method is used to train machine learning models by optimizing loss functions for better predictions.
We'll cover the following...
We'll cover the following...
What is gradient descent?
Gradient descent is an optimization algorithm used for finding the minimum of a function. It’s an iterative algorithm that starts from an initial guess of the minimum and then takes steps in the direction of the negative ...