How You Can Improve Neural Networks With Dann

This article discusses the use of Domain-Adversarial Neural Networks (DANN) to improve the generalization of Neural Networks. DANNs are a technique that addresses issues such as distribution shift and overfitting, which can hinder the performance of Neural Networks. The article provides background information on the challenges faced by Neural Networks and explains how DANNs can help overcome them.