Gradient descent is a fundamental optimization algorithm widely used in machine learning and numerical optimization. It is employed to minimize a cost function iteratively by adjusting the parameters ...

At last, we did python implementation of gradient descent. Since we did a python implementation but we do not have to use this like this code. These optimizers are already defined in Keras. They can ...

Learn how gradient descent really works by building it step by step in Python. ... Deep Learning with Yacine. Gradient Descent from Scratch in Python. Posted: June 4, 2025 | Last updated: June 4 ...

This repository contains the implementation of a novel metaheuristic optimization algorithm, the Gradient-Based Optimizer (GBO). Inspired by the gradient-based Newton’s method, GBO is designed for ...