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README.md
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They are tensorflow shapes and labels.
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(None, 32, 32, 3), (None, 1)
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You can check and verify the integrity if you want, and I'd advise it.
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They are a direct copy of tiny imagenet 200 classes, the training and validation images prepared and separated already.
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They are tensorflow shapes and labels.
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(None, 32, 32, 3), (None, 1)
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Training is 100k images
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Verification is 10k images.
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You can check and verify the integrity if you want, and I'd advise it.
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They are a direct copy of tiny imagenet 200 classes, the training and validation images prepared and separated already.
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