MNIST Database of Handwritten Digits for MATLAB.zip

# MNIST database of handwritten digits in MATLAB format This repository provides a simple conversion function of the original MNIST dataset into MATLAB `.mat` format for easy usage. Be sure to also pull the submodules containing the [original](https://github.com/sunsided/mnist) MNIST dataset. In order to convert the data, execute ```matlab convertMNIST ``` once in this directory, which will create `mnist.mat`. After that, you can use ```matlab load('mnist.mat') ``` which will load two variables into your workspace: - `training`, which contains the training set and - `test`, which contains the test set. Both variables are represented as structures of the following fields: - `count`: The number `N` of images - `width`: The width `W` of each image - `height`: The height `H` of each image - `images`: A `H` by `W` by `N` array of all images - `labels`: An array of `N` values describing the image label The `images` are encoded as doubles with a range of `0`..`1`, where `0` is background and `1` is foreground. The original MNIST dataset interprets these as `0` for white and `1` for black. The `labels` field is encoded as categorical double values in the range of `0` through `9` inclusive.