Mastering the Basics of Gradient Descent: A Fundamental Tool for Optimization

Gradient descent is an optimization algorithm widely used in machine learning and deep learning. It is used to find a mathematical function’s optimal parameters or coefficients that best fit a given dataset. The algorithm works by iteratively adjusting the parameters in the direction of the steepest descent of the cost function, which measures the error […]