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If we have many sequence data and corresponding plots, is there any reason we should use the image rather than the original data for deep learning?

Personally, I don't see any advantage of using CNN on the 2d image data since we could use a 1d CNN on the raw data.

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  • $\begingroup$ @MichaelChernick I would guess this question came after he read after this piece. $\endgroup$ – DiveIntoML Sep 1 '17 at 3:53
  • $\begingroup$ Heh. @displayname, if that paper is what you read, I believe it is meant to be taken in jest. $\endgroup$ – Matthew Drury Sep 1 '17 at 4:23
  • $\begingroup$ @MichaelChernick why? $\endgroup$ – stackunderflow Sep 1 '17 at 4:32
  • $\begingroup$ @DiveIntoML I recently join an image recognition competition which uses plots as datasets. I think that's ridiculous, personally. And thanks for the paper. $\endgroup$ – stackunderflow Sep 1 '17 at 4:35
  • $\begingroup$ Its ridiculous in practice yes, but for a competition, it may be just for fun. $\endgroup$ – Matthew Drury Sep 1 '17 at 4:54
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No there isn't any reason at all. By plotting the image you are only introducing noise.

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