See env.yml
The latest version of the program is developed to run on GPU.
To use the trained model:
from keras.models import load_model
model = load_model('Saved_models/model_4')
N.B. currently model_4 is the latest and best performing version
Then to generate n_samples:
z = np.random.normal(0.0, 1.0, (n_samples, 500))
TOD = model.predict(z)