variants
Gradient Descent algorithm and its variants Difficulty Level : Easy Last Updated : 15 Feb, 2023 Read Discuss Courses Practice Video Gradient descent is a powerful optimization algorithm used to minimize the loss function in a machine learning model. It’s a popular choice for a variety of algorithms, including linear regression, logistic regression, and neural networks. In this article, we’ll cover what gradient descent is, how it works, and several variants of the algorithm that are designed to address different challenges and provide optimizations for different use cases. What is Gradient Descent? Gradient descent is an optimization algorithm that is used to minimize the loss function in a machine learning model. The goal of gradient descent is to find the set of weights (or coefficients) that minimize the loss function. The algorithm works by iteratively adjusting the weights in the direction of the steepest decrease in the loss function. How does Gradient Descent Work? The bas