training model neural network
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Prashant Saini
am 12 Mär. 2021
Kommentiert: Prashant Saini
am 12 Mär. 2021
if reduceDataset
numUniqueLabels = numel(unique(adsTrain.Labels));
% Reduce the dataset by a factor of 20
adsTrain = splitEachLabel(adsTrain,round(numel(adsTrain.Files) / numUniqueLabels / 20));
adsValidation = splitEachLabel(adsValidation,round(numel(adsValidation.Files)/ numUniqueLabels / 20));
end
error line 2 showing statement will never execute
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Rik
am 12 Mär. 2021
This sounds like an mlint warning. The source would be reduceDataset being false, which would cause the entire if block to be skipped.
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