An MNIST handwriting training example for the NeuralNet package.

This application is part of the Swift AI project. Full details on the project can be found in the main repo.

1. Clone the repository:

git clone https://github.com/Swift-AI/NeuralNet-MNIST.git

2. Generate Xcode project:

swift package generate-xcodeproj

This project comes packaged with training data and a pre-built routine. The only thing you need to do is edit the following lines at the top of main.swift:

// Path to MNIST dataset directory.
let mnistDataDir = "/PATH/TO/NeuralNet-MNIST/MNIST"
// Full filepath for trained network output file.
let outputFilepath = "/PATH/TO/neuralnet-mnist-trained"

You should set mnistDataDir to the absolute path of the training data directory (included in this repository). This is necessary because Swift Package Manager currently doesn't support app bundles.

outputFilepath will be the location that the final, trained network is stored. You may set it to whatever you like.

Once these paths are set, just hit run and watch!

Always run the trainer in release mode! or it will be a long day :)

You can customize a number of parameters in the trainer and and neural network. The NeuralNet package contains more information on how to construct a neural net, so we won't go into detail here.

See the information at the top of main.swift for more inspiration.  

The MNIST dataset is used for training. This includes 70,000 handwriting samples of the digits 0-9.