TLDA

TensorFlow implementation of the paper Supervised Representation Learning: Transfer Learning with Deep Autoencoders.

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Dependency

• Numpy
• Tensorflow >= 1.0
• CIFAR-100 Dataset

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Setup

Run bash setup.sh in terminal to automatically download the CIFAR-100 dataset.

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Usage

Enter python TLDA.py in bash for fast with default setting.

Use --cifar_path to specify the path of pretrained VGG Net. By default, the model is located under datasets/cifar-100-python directory

Use --outfile to specify file to save the result. By default, the file is "result.csv".

Use --help to acquire more information.

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