Hi,

I'm super stoked to see DeepLearningKit. It is a great starting point for neural nets using Metal and swift. I had this idea since Apple revealed Metal the first time and it is great to see that someone has started to work on it :)

For me personally as I start to experimenting with DeepLearningKit and thinking of integrating it into real apps the first thing that comes to mind is:

• Would be great if DeepLearningKit was a library (easy to drop into any project)
• A library with unit tests, bench-marking and other nice metrics
• CI support that supports the collaboration and fast evolution/development

I don't know if someone is already doing something familiar, but my plans are:

1. Turn DeepLearningKit in a library project
2. Add unit testing
3. Setup travis for CI - build and testing
4. Publish in CocoaPods and Carthage
5. Change the example code to use the library instead of the common files directly

Cheers,
Rafael