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

[stereomatchingkiss]

>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? 

Do not know what do you mean by this. Could you describe it further?Base on your description

    arma::mat trainData;

    for(size_t i = 0; i != 10; ++i)
    {
      SparseAutoencoder<> sa(....);
      //after training
      MaximalInputs(sa.Parameters(), output);
      //omit trouble some begin, end
      bool isSame =  std::equal(std::begin(output), std::end(output), std::begin(outputBuffer));
      BOOST_REQUIRE(is_same == true);
    }


But is this test make sense?

---
Reply to this email directly or view it on GitHub:
https://github.com/mlpack/mlpack/pull/465#issuecomment-151761289
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.cc.gatech.edu/pipermail/mlpack-git/attachments/20151028/54ef7364/attachment.html>