In this project, we will implement Domain-Adversarial Training of Neural Networks on SVHN → MNIST task. The DANN is a popular unsupervised Domain Adaptation paper which uses the principle of adversarial learning to align the source and target datasets. A classifier trained on the source data can now classify the target data effectively. In this project we will treat the SVHN dataset of digit...

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