├── Digital_JDDA_C ├── .idea │ ├── JLSPT.iml │ ├── misc.xml │ ├── modules.xml │ └── workspace.xml ├── DataLoader.py ├── DataLoader.pyc ├── Lenet.py ├── Lenet.pyc ├── TrainLenetsne.py ├── TrainNet.py ├── Utils.py ├── Utils.pyc ├── center_loss.py ├── center_loss.pyc └── trainLenet.py ├── Digital_JDDA_I ├── DataLoader.py ├── DataLoader.pyc ├── Lenet.py ├── Lenet.pyc ├── Lenet2D.py ├── Lenet2D.pyc ├── LenetDANN.py ├── LenetDANN.pyc ├── LenetLog.py ├── LenetLog.pyc ├── TrainLenet2D.py ├── TrainNet.py ├── Utils.py ├── Utils.pyc ├── Utils1.py ├── Utils1.pyc ├── ddd.py ├── flip_gradient.py ├── flip_gradient.pyc ├── mnist │ └── Place the dataset in this folder.txt ├── mnistm │ └── Place the dataset in this folder.txt ├── svhn │ └── Place the dataset in this folder.txt ├── syn │ └── Place the dataset in this folder.txt ├── trainDANN.py ├── trainLenet.py ├── trainLogcal.py └── usps │ └── Place the dataset in this folder.txt ├── Office_JDDA_C ├── .gitignore ├── .idea │ ├── misc.xml │ ├── modules.xml │ ├── tensorflow-cnn-finetune-master.iml │ └── workspace.xml ├── JDDA_C │ ├── Utils.py │ ├── cdm.py │ ├── center_loss.py │ ├── download_weights.sh │ ├── examples.sh │ ├── model.py │ ├── train_JDDA.py │ └── ttt.py ├── data │ ├── amazon.txt │ ├── dslr.txt │ └── webcam.txt ├── office31 │ └── Place the Office dataset in this folder.txt └── utils │ └── preprocessor.py ├── Office_JDDA_I ├── JDDA_I │ ├── .idea │ │ ├── misc.xml │ │ ├── modules.xml │ │ ├── resnet.iml │ │ └── workspace.xml │ ├── Utils.py │ ├── Utils.pyc │ ├── __pycache__ │ │ └── model.cpython-35.pyc │ ├── download_weights.sh │ ├── examples.sh │ ├── model.py │ ├── model.pyc │ ├── train_JDDA.py │ └── ttt.py ├── data │ ├── amazon.txt │ ├── dslr.txt │ └── webcam.txt ├── office31 │ └── Place the Office dataset in this folder.txt └── utils │ ├── __pycache__ │ └── preprocessor.cpython-35.pyc │ ├── preprocessor.py │ └── preprocessor.pyc ├── README.md └── img ├── accuracy.png └── tsne.png /Digital_JDDA_C/.idea/JLSPT.iml: 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