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

Ryan Curtin notifications at github.com
Wed Oct 28 11:18:14 EDT 2015

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.

Reply to this email directly or view it on GitHub:
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.cc.gatech.edu/pipermail/mlpack-git/attachments/20151028/df040d71/attachment.html>

More information about the mlpack-git mailing list