Maching Learning from Scratch Using Rust
The purpose of this repository is to document my journey in learning machine learning and implementing various algorithms and data structures in Rust, from scratch.
Current Implementations
- Matrices
- Neural Network
Current Examples
- Learning an XOR Gate function using a Neural Network
Commands
To run tests:
cargo test
To run examples: cargo run or cargo run --release (faster execution)
License
Copyright (c) 2019, Long Nguyen lnguyenfx@live.com
Licensed under the MIT License