[mistake in docs] Deep learning trainingOp​tions.Vali​dationPati​ence is not Inf by default

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tesarj13
tesarj13 2018-10-29
回答： Tish Sheridan 2018-11-5
Documentation :
'ValidationPatience' — Patience of validation stopping
Inf (default) | positive integer
Running this code:
trainingOptions('sgdm')
results in:
Momentum: 0.9000
InitialLearnRate: 0.0100
LearnRateScheduleSettings: [1×1 struct]
L2Regularization: 1.0000e-04
GradientThresholdMethod: 'l2norm'
GradientThreshold: Inf
MaxEpochs: 30
MiniBatchSize: 128
Verbose: 1
VerboseFrequency: 50
ValidationData: []
ValidationFrequency: 50
ValidationPatience: 5
Shuffle: 'once'
CheckpointPath: ''
ExecutionEnvironment: 'auto'
WorkerLoad: []
OutputFcn: []
Plots: 'none'
SequenceLength: 'longest'
SequencePaddingValue: 0
Where ValidationPatience is 5...
Just letting you know...

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采纳的回答

Tish Sheridan
Tish Sheridan 2018-11-5
Thanks for confirming. The doc for your 18a release shows the old default to match the code you are seeing: https://www.mathworks.com/help/releases/R2018a/nnet/ref/trainingoptions.html#mw_c2ab36f1-691f-40d4-b894-cba9f7b27100 The doc for 18b shows the new default. The web doc always shows the current release. You can see the doc for your release by clicking Other Releases on the doc home page to get here: https://www.mathworks.com/help/doc-archives.html

更多回答（1 个）

Tish Sheridan
Tish Sheridan 2018-11-5
Hello - what version are you running? Starting in R2018b, the default 'ValidationPatience' changed to Inf. For more detail see under "Functionality being removed or changed" in the 18b release notes here: Release notes

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