neural-net-rs is a Rust-based neural network framework designed for educational purposes. This project aims to provide a simple yet informative implementation of neural networks in the Rust programming language.
- Educational Focus: neural-net-rs is created with the primary goal of helping users understand the fundamentals of neural networks in Rust.
- Simplicity: The framework prioritizes simplicity to facilitate a smooth learning experience for beginners in deep learning.
- Flexibility: While keeping things simple, neural-net-rs is designed to be flexible, allowing users to experiment with different neural network architectures.
git clone https://github.com/your-username/neural-net-rs.git
cd neural-net-rs
cargo build