aswinr24/neural-scratch

This repository takes a up the approach to explain how neural network and machine model works on a framework level basis

Neural Network Implementation Repository

Welcome to the Neural Network Implementation Repository! 🚀

This repository adopts an upward approach to implement neural network functions, optimization techniques, as well as machine learning models from scratch.

Features:

• Neural Network Functions: Explore a collection of neural network functions developed from the ground up.

• Optimization Techniques: Implement and experiment with various optimization techniques for enhancing model performance.

• Machine Learning Models: Build machine learning models from scratch, gaining a deeper understanding of their inner workings.

Getting Started:

To get started, clone the repository and explore the well-documented codebase. Feel free to contribute and enhance the functionalities.
Please read the CONTRIBUTING.md to know more.

Goals:

Our goal is to foster a deep understanding of neural networks, optimization, and machine learning by providing hands-on implementation experience.

Happy coding! 🖥️🧠