How to change training and plotting options when training a deep network?

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Fatma Diab
Fatma Diab 2021-11-11
评论： Mohammad Sami 2021-11-22
I have Matlab R2021a and I need to modify the option ‘OutputNetwork’ from the default ('last-iteration') into 'best-validation-loss' in trainingOptions by using this command:
options = trainingOptions('OutputNetwork', 'best-validation-loss');
but this option is not found in matlab R2021a. Could you please help me?

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回答（1 个）

Mohammad Sami
Mohammad Sami 2021-11-12
From matlab documentation, you can only use this option if you specified validation data as well.
https://nl.mathworks.com/help/deeplearning/ref/trainingoptions.html#bu59f0q_sep_mw_87c68427-6315-4ab2-b597-e78d9f98c079
  • 'best-validation-loss' – Return the network corresponding to the training iteration with the lowest validation loss. To use this option, you must specify 'ValidationData'.
  2 个评论
Fatma Diab
Fatma Diab 2021-11-12
编辑：Fatma Diab 2021-11-12
I have validation data and my options are:
options = trainingOptions('adam', ...
'MiniBatchSize',20, ...
'MaxEpochs',10, ...
'InitialLearnRate',0.0001, ...
'Shuffle','every-epoch', ...
'ValidationData', imdsValidation, ...
'ValidationFrequency',300, ...
'OutputNetwork', 'best-validation-loss',...
'Verbose',true, ...
'Plots','training-progress');
but this error appears:
Error using nnet.cnn.TrainingOptionsADAM (line 132)
'OutputNetwork' is not an option for solver 'adam'.
Error in trainingOptions (line 317)
opts =nnet.cnn.TrainingOptionsADAM(varargin{:});
Mohammad Sami
Mohammad Sami 2021-11-22
This functionality is recently introduced in Matlab R2021b.
https://www.mathworks.com/help/deeplearning/release-notes.html
Network Training: Return network with lowest validation loss
When training a neural network using the trainNetwork function, output the network with the lowest validation loss by setting the OutputNetwork name-value argument of the trainingOptions function to "best-validation-loss".
You may try using checkpoint path for this perhaps. See the available options in R2020a here
CheckpointPath — Path for saving checkpoint networks
character vector
Path where checkpoint networks are saved, specified as a character vector.
Data Types: char
https://www.mathworks.com/help/releases/R2020a/deeplearning/ref/nnet.cnn.trainingoptionsadam.html?searchHighlight=training%20options%20adam&s_tid=doc_srchtitle
For more on checkpoint see here
https://www.mathworks.com/help/deeplearning/ug/resume-training-from-a-checkpoint-network.html

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