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

[Ryan Curtin]

> @@ -0,0 +1,48 @@
> +#ifndef __MLPACK_METHODS_NN_MAXIMAL_INPUTS_HPP
> +#define __MLPACK_METHODS_NN_MAXIMAL_INPUTS_HPP
> +
> +#include <mlpack/core.hpp>
> +
> +namespace mlpack {
> +namespace nn {
> +
> +
> +/**
> + * Maximize the hidden units of the parameters

Do you think you could add a bit more documentation on what the function does and what it's for?  A link to the UFLDL page would probably be pretty useful here.  (If you don't want to do this, I can do it after the merge.)

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https://github.com/mlpack/mlpack/pull/465/files#r43120617
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