What is the purpose of shuffling the validation set?

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Cynthia
Cynthia 2020 年 1 月 17 日
コメント済み: robinho robinho 2022 年 7 月 20 日
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?
  1 件のコメント
robinho robinho
robinho robinho 2022 年 7 月 20 日
what difference will it make to the trainning if the training set is shuffled?

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回答 (1 件)

Greg Heath
Greg Heath 2020 年 1 月 18 日
To impose and verify a consistent GENERALIZED path to convergence by avoiding repetitive anomalies.
Hope this helps
Greg
  3 件のコメント
Kody Law
Kody Law 2022 年 5 月 10 日
I agree the answer does not help and it is not clear what this is about.
Nicolò Viviani
Nicolò Viviani 2022 年 5 月 26 日
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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