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Required package and software

see the export environment configuration.

conda create --name myenv anaconda python=3.6

pip install tensorflow-gpu==1.14.0

pip install tensorflow-datasets==1.2.0

pip install tensorflow-gan==1.0.0.dev0

pip install tensorflow-probability==0.7.0

Open the jupyter notebook and switch the kernel to the created virtual environment. For how to add the created virtual environment to kernel, please refer to following commands:

source activate myenv

python -m ipykernel install --user --name myenv --display-name "Python (myenv)"

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
MNIST_data		MNIST_data
mnist/data		mnist/data
README.md		README.md
__init__.py		__init__.py
dataset_100.ipynb		dataset_100.ipynb
dataset_1000.ipynb		dataset_1000.ipynb
dataset_500.ipynb		dataset_500.ipynb
dataset_with_noise.ipynb		dataset_with_noise.ipynb
dataset_with_sawwave.ipynb		dataset_with_sawwave.ipynb
dataset_with_sawwave_noise.ipynb		dataset_with_sawwave_noise.ipynb
info_gan_example.ipynb		info_gan_example.ipynb
lstm_infogan_sinewave_linear_noise.ipynb		lstm_infogan_sinewave_linear_noise.ipynb
lstm_infogan_sinewave_sawtooth_noise.ipynb		lstm_infogan_sinewave_sawtooth_noise.ipynb
networks.py		networks.py
rnngan.py		rnngan.py
rnninfogan.py		rnninfogan.py
rnninfogan_category_noise.py		rnninfogan_category_noise.py
util.py		util.py
utils.py		utils.py