What is a Gradient Descent? If you’ve read about how neural networks are trained, you’ve almost certainly come across the term “gradient descent” before. Gradient descent is the primary method of ...

Gradient Descent is an iterative optimization algorithm used to find a local minimum/maximum of a given function. In this case, we will use GD and its different variations, to fit a straight line ...

Gradient Descent is a widely used optimization algorithm in machine learning and numerical optimization. It's particularly useful for minimizing a loss function by iteratively moving in the direction ...

This Paper centers on optimization, highlighting the novel integration of Gradient Descent (GD) and the Sea Lion Optimization Algorithm (SLnO). It proposes a harmonious methodology for addressing task ...

Abstract: This article studies agent-server system identification problems by using a varying infimum gradient descent (VI-GD) algorithm. To efficiently use the GD algorithm for the agent-server with ...