When training a network with "trainNetwork", how to keep the trainable parameters from the begining to the end?

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?

Answer 1

[yanqi liu]

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