Timeline for Why should the data be shuffled for machine learning tasks
Current License: CC BY-SA 3.0
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Nov 9, 2017 at 13:21 | comment | added | Green Falcon | Actually I have seen this in the paper of SGD but it as the authors of the paper claimed it is the reason of convergence not the shuffling. I saw the link and I doubt it a bit. for more clarity look this amazing paper. The authors have mentioned the point there, but as you will see there is no exact reason for shuffling | |
Nov 9, 2017 at 13:14 | comment | added | OmG | @Media The most related answer in the provided link is: "Shuffling mini-batches makes the gradients more variable, which can help convergence because it increases the likelihood of hitting a good direction" | |
Nov 9, 2017 at 12:04 | history | edited | OmG | CC BY-SA 3.0 |
added 148 characters in body
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Nov 9, 2017 at 11:54 | history | answered | OmG | CC BY-SA 3.0 |