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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 [email protected]

Licensed under the MIT License

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Machine Learning from Scratch using Rust

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