which is faster working with 3d image in deep learning or working with binary image and converting them to 3d in deep learning

  deep-learning, python, scikit-learn

I have this query. Which one is faster in Deep Learning? Working with RGB images or with binary images while converting them to RGB using skimage.color.gray2rgb?

Source: Python Questions

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