When training a network with "trainNetwork", how to keep the trainable parameters from the begining to the end?
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I want to see the 'sgdm' or 'adam' trace on the loss surface, the network at each iteration is needed? how can I keep the network at each iteration when training?
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yanqi liu
on 27 Dec 2021
yes,sir,may be set options to train,such as
options = trainingOptions('sgdm', ...
'MaxEpochs',20,...
'InitialLearnRate',1e-4, ...
'Verbose',false, ...
'Plots','training-progress');
[tnet,tinfo] = trainNetwork(imdsTrain,layers,options);
after train,we can get the train information in tinfo struct
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