What is the purpose of shuffling the validation set?

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Cynthia
Cynthia 2020-1-17
评论： robinho robinho 2022-7-20
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?

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回答（1 个）

Greg Heath
Greg Heath 2020-1-18
To impose and verify a consistent GENERALIZED path to convergence by avoiding repetitive anomalies.
Hope this helps
Greg
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Kody Law
Kody Law 2022-5-10
I agree the answer does not help and it is not clear what this is about.
Nicolò Viviani
Nicolò Viviani 2022-5-26
I also do not understand this Shuffling on validation data. I try to reformulate the question:
What the 'Shuffle' name-value pair of trainingOption does with validation data? I mean, what is the point of shuffling validation data?

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