Experiments on ADNI Database¶
Click here for more information about the database.
Preparation¶
Serialize the raw data¶
Use the following command to run the serialization:
python -m datasets.brain.serialize -m sacred
Unconditioned brain GAN¶
The following experiment shows how to generate random brains with the GanEstimator module. For implementation details see Components of Reproducible-ML or API Documentation
To run the code with the default parameters defined in the config function just type from the root directory:
python -m exps.brain.train
Or use the command line arguments to set different parameters:
python -m exps.brain.train with brain_feeder.batch_size=16
Example output¶
With the default parameters we will obtain the following result for training steps 100, 1000 and 2000: