A basic deep learning framework written in Rust, allowing easy definition of Back-Propagation Network. Based on the static computational graph, this framework has a decent running speed on the CPU. You can see example of mnist dataset at examples/mnist.rs. To run the example, you need to download the mnist dataset from here (if it doesn't work, try here). After downloading all the 4 files, extract and put them in a new folder named data under the root of the project. Then run the example with cargo run --example mnist --release.