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Tensorflow_DANN

TensorFlow Version Used: 2.0

This is an implementation of the paper Domain-Adversarial Training of Neural Networks(https://arxiv.org/abs/1505.07818). I have tested my implementation on 3 datasets ( MNIST, SVHN, SynNumbers). Paper focuses upon Unsupervised Domain Adaptation via Backpropagation.

Source-only training results

MNIST SVHN SynNumbers
Source Training Accuracy 99.9% 99.7% 99.8%
Source Test Accuracy 99.9% 91.5% 96.4%
Target Accuracy(MNIST) - 71.3% 89.2%
Target Accuracy(SVHN) 20.2% - 84.8%
Target Accuracy(SynNumbers) 24.5% 91.1% -

I have used this implementation my research work for CT lung Images for Interstitial lung diseases (ILD).

This Repo will be updated soon with full description.

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