This is a simple library that lets you compute partial derivatives. It is specially handfull when implementing neural networks specially as it simplifies the back propagation process.
You can find examples on how to use the library in the examples
folder.
First of all, make sure you have Rust propertly installed on you machine, then in order to build this project, you can run:
cargo build --release
Once the build is complete, you will have an executable under the target/release/
folder, you can run it directly
./target/release/auto-grad-rs