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This repository was archived by the owner on Dec 26, 2018. It is now read-only.
Not sure I understand what the TensorSpark-specific issue is here. That would be a standard pre-processing that you would need to do before feeding the dataset into the model. One way would be to write code (Python, Python with PySpark API, etc.) to read those images from those folders and save them all in one big CSV file, like the existing MNIST example. There might be other better ways as well :)
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