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# deep_learning_test
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First install some deppendencies like csv, sys, numpy, cv2, PIL, glob and keras.
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Then run CIFAR10.py <set_folder> destination_folder>, destination_folder is where the outputs will be sent;
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Then use the eval.py <truth.csv> <test.preds.csv> to evaluale <test.preds.csv> according to the ground truth <truth.csv>.
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Then run: CIFAR10.py <set_folder> destination_folder>,
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destination_folder is where the outputs will be sent;
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Then use: eval.py <truth.csv> <test.preds.csv> to evaluale <test.preds.csv>
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according to the ground truth <truth.csv>.

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