weight constraints and more flexible dropout
fix so we don't dropout during test time
validation loss fix
refactor, cleanup, activator type
removed old example file
renaming and reorganization
convolutional and pooling layers
fixed some renames
removed module declarations
removing results file
default early stopping is simple false
fixed bad grad tanh function
added simple example
moving patch functions
can now matrixify non-vectors
adding default sample weights functions to util for now
pooling layer improvements
neural network factory fixes
improvements/fixes to neural layer type and methods
removing some unused params