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license: mit
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They are tensorflow shapes.
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(32, 32, 3)
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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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license: mit
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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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