Deep Learning Example using SHAInet

This workbook demonstrates how to create a Deep Learning network using SHAInet. We will be using the Pima Indians dataset to predict diabetes.

Installation

This requires crystal 0.23.1

Usage

This project uses crystal's playground. You can load and run the playground workbook using:

shards install
crystal play
open http://localhost:8080

Then select the Workbook -> Diabetes from the menu.

You can also compile and run the application:

crystal run src/diabetes.cr

Contributing

1. Fork it ( https://github.com/drujensen/diabetes/fork )
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new Pull Request

Contributors

• drujensen Dru Jensen - creator, maintainer