* Fix various bugs in the loss function backend.
* Expose `LOSS_VEHICLE` logic in the tensorflow loss function bindings.
* When calling loss functions, no longer need to have individual `()` call
for each argument. Instead can use named arguments, e.g. for mnist spec:
python
lossFn(
n=1,
classifier=classifier,
epsilon=0.001,
trainingImages=(ZEROES_28X28,),
trainingLabels=(0,),
)