How to use Nadam optimizer in training deep neural networks
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Training_Options = trainingOptions('sgdm', ...
'MiniBatchSize', 32, ...
'MaxEpochs', 50, ...
"InitialLearnRate", 1e-5, ...
'Shuffle', 'every-epoch', ...
'ValidationData', Resized_Validation_Data, ...
'ValidationFrequency', 40, ...
"ExecutionEnvironment","gpu",...
'Plots','training-progress', ...
'Verbose',false);
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Nayan
le 5 Avr 2023
Hi
I assume you want to use "adam" optimizer in place "sgdm". You need to simply replace the "sgdm" key with "adam" keyword.
options = trainingOptions("adam", ...
InitialLearnRate=3e-4, ...
SquaredGradientDecayFactor=0.99, ...
MaxEpochs=20, ...
MiniBatchSize=64, ...
Plots="training-progress")
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