[mlpack-git] [mlpack] FFN serialization (#516)

[Ryan Curtin]

My thoughts here don't apply to this situation in particular (I haven't really looked over this), but I think that in general, serializing user preferences for training is worth doing.  For instance, a user may want to load a model, and then train it some more.  Any intermediate training variables probably aren't worth saving, but something like a learning rate is worth holding onto, in my opinion.  This is what I've tried to do with other serialization code.  I hope these thoughts are helpful. :)

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