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

[Ryan Curtin]

I've spent a bit of time thinking about it; you're right that unit tests are very hard to come up with for this case.  Maybe a very simple one: if we train an autoencoder with a single hidden unit on the same input over and over again, then wouldn't the input that maximally activates that single hidden unit be the same input?  That's a very simple test, but I don't know if we'll manage to have any very complex tests here...

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