it is an example program to let you learn how to write a basic deep learning (DL) project.

There are these components important in a DL project:

• your deep learning model
• your data (patient list)
• data generator (how your model reads the file paths of your data)
• train / predict These are all written in train.ipynb, predict.ipynb and model/model.py
  

This simple project is a simple de-noising project (input: noisy data, output: clean data) with a 2D U-NET.