Add support for a more general dataset size.  Un-hardcode the sizes of the inputs, but assume they're square.
Take two folders full of positive and negative images and make a singular .pkl.gz in a format similar to MNIST.
Merge branch 'master' of https://github.com/JosephCatrambone/DeepLearningTutorials

Conflicts:
	code/logistic_sgd.py