What Is Gradient Descent? | Built In

Gradient Descent in Machine Learning: Python Examples

A beginner's guide to graph data visualization

[PDF] Adam: A Method for Stochastic Optimization | Semantic Scholar

Artificial Intelligence | AI on Instagram: "Gradient descent is an optimization method used to train machine learning models by finding the set of parameters (like weights in a neural network) that make the loss function as small as possible. You can think of the loss as a surface, where each point represents a different set of parameters, and our goal is to move downhill toward the lowest point. To do this, we calculate the gradient, which is a collection of partial derivatives of the loss with