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We need to worry about data balancing #251

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sg-s opened this issue Nov 29, 2019 · 0 comments

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sg-s commented Nov 29, 2019

If we keep adding noise to the training data, then networks can "cheat" by simply marking everything as noise.

So every time a point is added to the training data, we need to make sure that the data is 'balanced", and no one label predominates.

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