Do the 30-D codes found by the
autoencoder preserve the class
structure of the data?
Take the 30-D activity patterns in the code layer
and display them in 2-D using a new form of
non-linear multi-dimensional scaling (UNI-SNE)
Will the learning find the natural classes?