To run the code use: python train.py

conf/global_settings.py - contains the configuration parameters of training and 
test the model (including the model's architecture, dataset, etc).

analysis.py - contains functions for computing the CDNV and NCC classification 
accuracy rates of a given model.

utils.py - contains various utility functions, such as data and model loaders. 

models - contains various neural network architectures we used in the paper. 


