Is it possible to train a neural network with multiple hidden layers in Vowpal Wabbit?

Question

I know that the syntax for training a single-layer neural network is:

vw -d data.vw --nn 10

(Thanks, FastML)

What if I'd like to add a second layer, say with 5 nodes? Is that possible?

UPDATE

For those of you interested in using VW neural nets in an applied setting I've posted a public Google drive linked to a worked example relating to this question here: https://drive.google.com/open?id=0BzKSYsAMaJLjZzJlWFA2N3NnZGc

Answer 1

VW doesn't have the ability to construct more than 1 hidden layer (using -nn X). You'd have to use a different non-linear algorithm or a different framework.