What is the purpose of shuffling the validation set?

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Cynthia
Cynthia on 17 Jan 2020
Commented: Kody Law on 10 May 2022 at 14:04
What is the purpose of shuffling the validation set during training of an artificial neural network? I understand why this makes sense for the training set, so that each minibatch has a different composition every time, but doesn't the ANN evaluate the whole validation set every epoch?

Answers (1)

Greg Heath
Greg Heath on 18 Jan 2020
To impose and verify a consistent GENERALIZED path to convergence by avoiding repetitive anomalies.
Hope this helps
Greg
  2 Comments
Kody Law
Kody Law on 10 May 2022 at 14:04
I agree the answer does not help and it is not clear what this is about.

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