title: R deep learning, multiple outputs
body: <p>Is it possible to create a deep learning net that gives multiple outputs?
  The reason for doing this is to also try to capture the relationships between outputs. 
  In the examples given I can only create one output.</p>
  
  <pre><code>library(h2o)
  localH2O = h2o.init()
  irisPath = system.file("extdata", "iris.csv", package = "h2o")
  iris.hex = h2o.importFile(localH2O, path = irisPath)
  h2o.deeplearning(x = 1:4, y = 5, data = iris.hex, activation = "Tanh", 
               hidden = c(10, 10), epochs = 5)
  </code></pre>