MNIST

A crate for parsing the MNIST data set into matricies to be used by Rust programs.

• Crate
• Documentation

Example

 extern crate mnist;
 extern crate rulinalg;

 use mnist::{Mnist, MnistBuilder};
 use rulinalg::matrix::{BaseMatrix, BaseMatrixMut, Matrix};

 fn main() {
     // Deconstruct the returnded Mnist struct.
     let Mnist { trn_img, trn_lbl, .. } = MnistBuilder::new()
         .image_format_28x28()
         .label_format_1x1()
         .training_set_length(50_000)
         .validation_set_length(10_000)
         .test_set_length(10_000)
         .finalize();

     // Get the label of the first digit.
     let first_label = trn_lbl[[0, 0]];
     println!("The first digit is a {}.", first_label);

     // Get the image of the first digit.
     let row_indexes = (0..27).collect::<Vec<_>>();
     let first_image = trn_img.select_rows(&row_indexes);
     println!("The image looks like... \n{}", first_image);

     // Convert the training images to f32 values scaled between 0 and 1.
     let trn_img: Matrix<f32> = trn_img.try_into().unwrap() / 255.0;

     // Get the image of the first digit and round the values to the nearest tenth.
     let first_image = trn_img.select_rows(&row_indexes)
         .apply(&|p| (p * 10.0).round() / 10.0);
     println!("The image looks like... \n{}", first_image);
 }