This is the final recipe in our chapter, so we've got a few files to create—the train.py, run.py, and run.sh files. Before continuing, check to make sure you have the exact same directory structure in your directory:

├── data
├── docker
│   ├── build.sh
│   ├── clean.sh
│   ├── Dockerfile
│   └── kaggle.json
├── out
├── README.md
├── run_autoencoder.sh
├── run.sh
└── src
    ├── discriminator.py
    ├── encoder_model.h5
    ├── encoder.py
    ├── gan.py
    ├── generator.py
    ├── run.py
    ├── train.py
    ├── x_test_encoded.npy
    └── x_train_encoded.npy