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- dog_cat folder: dataset with 2500 cat images, 2500 dog images
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- extract_features.py: using ResNet50 to extract feature vectors
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- hdf5datasetwriter.py: export feature vectors to file .hdf5
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- setup.py: run extract_features.py, hdf5datasetwriter.py, tsne, plot
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- features.hdf5: save feature vectors
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- features_by_tsne.npy: save feature vectors after reducing dimensions by t-sne
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- visualize_feature_vectors.png: save the plot of t-sne feature vectors
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