Author: Dainis Boumber
Tensorflow-gpu (1.0.1, Window, py3) implementation of Domain Adversarial Neural Network. Domain Adversarial Neural Network was published by Ajakan et al. in https://arxiv.org/abs/1412.4446
Modified from jaejun-yoo's github
This DANN is suitable for non-image, classical ML data.
The code has been refactored and simplified.
Usage from IDE:
python DANN.py will run default supernova dataset. You can change that to mars dataset by editing main()
Usage from shell:
$ python DANN.py source target
The datasets are in the ./data/ directory of the project, and are assumed to be csv files with no header row. in the above case, we would have ./data/source.csv and ./data/target.csv