Changed parameters: added +5 trigger to false dataset, reduced regularization to 0.1, increased iterations to 100.
Normalized the data to [-1 1], capped, from originally [-100, 40];
Updated normalization and changed the frequency range to 1 - 10 kHz.
Correct mid-point save in the training process.
Added the option to import a datafile instead of importing the wideband data every run.  Also added a final save for debugging.
Trying more parameters.
Specify multiple hidden layers in the hiddenLayerSize as an array, and generate the random initial parameters.
Unwrap the parameters into the Theta cell array.
Corrected dataFile name.
Changed nn_cost parameter vector remapping to remap to the cell array instead.
Forward propagate for any number of layers.
Updated regularization to take theta cell array.
Backpropagation.
A clearer (and more correct) version of rolling nn_params back into Thetas.
Changed saving to use v7.3 format.
Added in new unwrapping to main function.
Merge branch 'master' into extraLayers
Merge commit 'ecf192167226ce593e6365c345f372b44519dfd4' into extraLayers

Conflicts:
	neural_network_training.m
Changed the variable from nHidden to nLayers.
Fixed visualizing the first Theta parameters