Working with LSTM and Bayes Optimization

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I am trying to use bayesoptimization to tune the parameters
optimvars = [
optimizableVariable('InitialLearnRate',[1e-2 1],'Transform','log')
optimizableVariable('L2Regularization',[1e-10 1e-2],'Transform','log')];
layers = [ ...
sequenceInputLayer(inputSize,'Normalization','zscore')
bilstmLayer(numHiddenUnits,'OutputMode','last')
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer];
maxEpochs =25;
options = trainingOptions('adam',...
'ExecutionEnvironment','cpu',...
'GradientThreshold',1,...
'MaxEpochs',maxEpochs,...
'MiniBatchSize',miniBatchSize, ...
'SequenceLength', 'longest', ...
'Shuffle','every-epoch', ...
'Verbose', 1, ...
'InitialLearnRate',optimvars.InitialLearnRate,...
'L2Regularization',optimvars.L2Regularization,...
'Plots','training-progress');
objFcn = makeObj(Xtrain,YTrain);
bayesObj = bayesopt(objFcn,optimvars, ...
'MaxTime', 14*60*60, ...
'IsObjectiveDeterministic',false,...
'UseParallel',false);
Where am i going wrong as i get the following error:
Unrecognized method, property, or field 'InitialLearnRate' for class 'optimizableVariable'.
Error in AllVsIndx (line 236)
'InitialLearnRate',optimvars.InitialLearnRate,...
The documentation regarding bayesian optimization is very vague especially when it comes to implementation with LSTM networks
Any help would be appreciated
Thanks

采纳的回答

Jorge Calvo
Jorge Calvo 2021-5-27
If you have R2020b or later, you can use the Experiment Manager app to run Bayesian optimization to determine the best combination of hyperparameters. For more information, see https://www.mathworks.com/help/deeplearning/ug/experiment-using-bayesian-optimization.html.
  1 个评论
CHRISTOPHER MILLAR
CHRISTOPHER MILLAR 2021-5-27
Thanks Jorge
I have just installed R2021a on my machine and will take advantage of this new app

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更多回答(2 个)

Don Mathis
Don Mathis 2020-2-25

Jorge Calvo
Jorge Calvo 2021-10-5
I thought you would like to know that, in R2021b, we are included an example for training long short-term memory (LSTM) networks using Bayesian optimization in Experiment Manager:
I hope you find it helpful!
  1 个评论
CHRISTOPHER MILLAR
CHRISTOPHER MILLAR 2021-10-5
Hi jorge,
Yes I have been using it and it makes the optimization process very easy to use.
Thanks for updating the thread with this information.
Regards
Chris

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