Questions tagged [gradient-descent]

Gradient Descent is a powerful optimization technique used to find the minimum value of a function. It works by iteratively calculating the gradients of the function and moving in small steps towards the direction of steepest descent. One common use of Gradient Descent is in training machine learning models, where the goal is to minimize an error function by updating the model's parameters.