Machine Learning & Training

What Is Gradient Descent?

Gradient descent is an iterative optimization algorithm used to train machine learning models. It computes the gradient of a loss function with respect to the model's parameters and updates those parameters in the direction that reduces the loss. Repeating this process gradually moves the model toward a set of parameters that minimizes error.