Update README

README.md

@@ -1,4 +1,34 @@
-# dirt-t
-A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
+# DIRT-T
+
+Implementation of [A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)](https://arxiv.org/abs/1802.08735).
+
+### Dependencies
+
+```python
+numpy==1.14.1
+scikit_image==0.13.1
+scipy==1.0.0
+tensorflow_gpu==1.6.0
+tensorbayes==0.4.0
+```
+
+### Download Data
+
+Download scripts for MNIST and SVHN provided in `./data/`.
+
+### Run code
+
+Run VADA
+```
+python run_dirtt.py --datadir data --run 0 --src mnist --trg svhn --dirt 0
+```
+
+Run DIRT-T (pre-condition: run VADA first)
+```
+python run_dirtt.py --datadir data --run 0 --src mnist --trg svhn --dirt 500
+```
+
+Tensorboard logs will be saved to `./log/` by default.
+
+### Tensorboard Visualization
 
-A note about MNIST data set: I accidentally divided images by 256 instead of 255. This will cause some differences in how the the images behave upon reshaping. Just keep that in mind.