DANN
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pytorch implementation of Domain-Adversarial Training of Neural Networks
This is a pytorch implementation of the paper Unsupervised Domain Adaptation by Backpropagation
Environment
- Pytorch 1.0
- Python 2.7
Network Structure
Dataset
First, you need download the target dataset mnist_m from pan.baidu.com fetch code: kjan or Google Drive
cd dataset
mkdir mnist_m
cd mnist_m
tar -zvxf mnist_m.tar.gz
Training
Then, run main.py
python 3 and docker version please go to DANN_py3
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