Parallel Reverse Mode Automatic Differentiation in C# for Custom Neural Network Development

A project on understanding the performance of various different backpropagation optimization techniques in neural networks.

This repository presents a comprehensive comparative study that delves into the weights and biases of both inbuilt and custom-built Sequential Neural Network (SNN) models. The primary objective is to gain a deeper understanding of the differences and nuances between these two approaches.