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Posted to dev@singa.apache.org by GitBox <gi...@apache.org> on 2021/11/25 01:25:21 UTC

[GitHub] [singa] nudles commented on issue #904: Move data augmentation outside of training iterations for better training efficiency

nudles commented on issue #904:
URL: https://github.com/apache/singa/issues/904#issuecomment-978715786


   But, the data augmentation is done with some randomness, e.g., random cropping offset and random rotation degrees. If you move it outside of the training iterations, you may lose this randomness. As a result, you may not get much benefit from data augmentation.


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