nn_DF.py - main script to build neural network with adaptive learning rate which is adapted from https://github.com/mnielsen/neural-networks-and-deep-learning
Exi_generator.py - generate Monte Carlo samples for the specific model and store data with gzip (i=1,2,3,4).
Exi_loader.py - load data (i=1,2,3,4).
Exi.ipynb - python code in Jupyter notebook to train the neural network and produce results.
datas - data generated from Exi_generator.py (i=1,2,3,4) for each example.
img - images stored from Exi.ipynb.