Andrew Ng has a fantastic example of visualizing deep belief nets: https://www.youtube.com/watch?v=ZmNOAtZIgIk https://www.youtube.com/watch?v=ZmNOAtZIgIk The

Andrew Ng has a fantastic example of visualizing deep belief nets: https://www.youtube.com/watch?v=ZmNOAtZIgIk https://www.youtube.com/watch?v=ZmNOAtZIgIk The example starts at about 18:20. You really need to have watched the previous material to understand it, but the basic idea is that he's plotting the hierarchy of features learned by successive layers of a deep neural net (a sparse autoencoder, IIRC, it's been a while since I watched it).