Now that we have loaded the prostate dataset into H2O, we can build a Deep Learning model. For this purpose, please use the menu option Model > Deep Learning or direct link.
Deep Learning has a rich set of tuning parameters that can affect the training speed and model performance. Refer to Deep Learning slides for more information.