learning tensorlayer 

pip install tensorflow-gpu
pip install tensorlayer

for easy use, do ' ./run.sh --test_example=True ' which will execute example.py

main.py
  to start

data/dataloader.py
  constains methods to restore different dataset

models/model.py
  by importing different net to select network for training and testing
  use corresponding load_*_dataset in _load_data()

models/*_net.py
  base_net is considered as a base class containing several neccessary method for using
  dense_net and conv_net are inherited from base_net, some methods of them are re-written 
    to fit new situation