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.
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Neural Network Functions: Explore a collection of neural network functions developed from the ground up.
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Optimization Techniques: Implement and experiment with various optimization techniques for enhancing model performance.
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Machine Learning Models: Build machine learning models from scratch, gaining a deeper understanding of their inner workings.
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.
Our goal is to foster a deep understanding of neural networks, optimization, and machine learning by providing hands-on implementation experience.
Happy coding! 🖥️🧠