[mlpack-git] [mlpack] Create a function to visualize the features learned by sparse autoencoder (#465)

[Ryan Curtin]

Yeah, a golden model approach may be the right thing here.  How long does it take to train the sparse autoencoder on the data from display_network.m, and how big is that data?  I suppose it could be possible to use a smaller dataset (perhaps something already in `src/mlpack/tests/data/`).  Ideally we'd want the dataset to be as small as possible (a few kb if possible, gzipped is fine) and the test should take no longer than a handful of seconds on a commodity machine.

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