As we will see, the deep learning function has quite a few arguments and parameters that you can tune. The thing that I like about the package is the ability to keep it as simple as possible and let the defaults do their thing. If you want to see all the possibilities along with the defaults, see help or run the following command:
> args(h2o.deeplearning)
Documentation on all the arguments and tuning parameters is available online at http://h2o.ai/docs/master/model/deep-learning/.
As on a side note, you can run a demo for the various machine learning methods by just running demo("method"). For instance, you can go through the deep learning demo with demo(h2o.deeplearning).
Our next goal is to tune the hyper-parameters using a random ...
