Multiple Transforming input data

If we transform the image data… We input the raw, then transform it by splitting channels to R, G, B then input the seperate color channels then we transform it again to greyscale & input that so we do multiple rounds of transform for each single input data point…. Then to get a classification / prediction we all predictions from each transform and compare the results of each? Wouldn’t this allow us to achieve more accurate results…

submitted by /u/Nothemagain
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