added test files for implementing max norm regularization
Added a test on random data for updating and calculating and rescaling a matrix for max norm regularization.
replaced cumulative sum with sum, maybe I'm not runnign 0.6.1 on SciNet?
encountered strange TypeError in testing, maybe be fixed by typing scale?
Reformulated how I calculate the SS, changed how the outputs of functions are checked
Reformatted the test again.  I didn't understand the specifications of T.max.  Now going to take the max off the gpu , apply later.  Should be reasonably fast, just shuffling one float to and from the device.
lazy error combining theano shared variable and host side variables in division
Gah, typo meant I was always updating rather than just sometimes :/
output initial 1-norm of X matrix, to see if any updates are actually being performedo
Added max norm theano function method to the SdA class, and now the test_finetune and test_max_norm scripts will call it.
fixed instance naming error
Fixed prefix in theano.function declaration for max_norm
fixed naming issue: theano prefers named arguments to correspond to string name arg in tensor declaration.
forgot to include in last commit!
max norm testing ok for pretraining (though no significant rescaling events took place on the tiny network).  Trying with finetuning script now.
Aagrh, SdA -> sda naming error again.
Encountered strange type error, maybe due to not casting max norm input param as a float.
bah, another typo error.
Pushed max norm regularization into the main finetuning driver script.  Ready to submit finetuning jobs in bulk.
Changed submit scripts to work with max norm regularization