A dependently typed MLP network with Back Propagation learning
See the ./examples folder for the dataset and parameter format
train.txtspecifies the training dataset- each row corresponds to one pattern
- each pattern contains the inputs and outputs joined in one line
test.txtspecifies the testing dataset- format identical to training set
params.jsonspecifies the training parameters