odd.. the STL_demo now works, it didn't before - still not complete, but running a normal softmax classifier on it yields a 5.3% misclassification rate. next steps will be to use the learned features to see how the rate improves, and then to get numpy to link to openblas - apparenly that's WAY faster for routines like dot()