Pinned Repositories
Demo_01
Domain_Adaptation
Domain Adaptation is one of the branches of migration learning. Its purpose is to map differently distributed source and target domain data into a feature space, minimizing the distance between the two in that space. In this report, we use Office-Home dataset as our dataset, and try traditional methods (TCA, JDA, CORAL, BDA, WBDA) and deep learning methods (DANN, DDC DeepCORAL) to do domain adaptation and evaluate the performances of them.
gulimall
谷粒商城项目
test
ThesisCode
Thesis-Code
RicardoLazy's Repositories
RicardoLazy/Demo_01
RicardoLazy/Domain_Adaptation
Domain Adaptation is one of the branches of migration learning. Its purpose is to map differently distributed source and target domain data into a feature space, minimizing the distance between the two in that space. In this report, we use Office-Home dataset as our dataset, and try traditional methods (TCA, JDA, CORAL, BDA, WBDA) and deep learning methods (DANN, DDC DeepCORAL) to do domain adaptation and evaluate the performances of them.
RicardoLazy/gulimall
谷粒商城项目
RicardoLazy/test
RicardoLazy/ThesisCode
Thesis-Code