This repository provides an implementation of a 3-layer neural network model that evaluates the performance of three different optimization algorithms: Gradient Descent, Momentum, and Adam. The objective is to compare their effectiveness in terms of accuracy and convergence behavior on a given dataset.
- Special thanks to the Deep Learning Specialization for providing the foundational knowledge and skills necessary for implementing this project.