I think it may be complicated or may not be possible if you are solving the above problem with layerGraph and trainNetwork based workflow. Instead I would suggest you to solve it with dlnetwork & Deep Learning Custom Training Loops based approach.
Train a cascaded neural network together
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How to train a 2 cascaded neural network together while the 2nd NN allready trined and supply the target output to the 1st NN in training proccess,
Using the following implementaion of NNs:
net = trainNetwork(XTrain,YTrain,layers,options);
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