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 # DDC-transfer-learning
-A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance which is inspired by [transferlearning][https://github.com/jindongwang/transferlearning]. 
+A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance which is inspired by [transferlearning](https://github.com/jindongwang/transferlearning). 
 The project contains *Pytorch* code for fine-tuning *Alexnet* as well as *DDCnet*  implemented according to the original paper which adds an adaptation layer into the Alexnet. 
 The *office31* dataset used in the paper is also used in this implementation to test the performance of fine-tuning *Alexnet* and *DDCnet* with additional linear *MMD* loss.