Hi, indeed checkpoints that are associated to some DAGNetwork architectures cannot be used to make predictions. As an example, those who contain batchNorm layers. See https://fr.mathworks.com/matlabcentral/answers/423588-how-to-classify-with-dag-network-from-checkpoint or https://fr.mathworks.com/matlabcentral/answers/451383-issue-with-batch-normalization-layer-of-saved-cnn#answer_366855.
For a workaround, you can still retrain from your checkpoint during 1 epoch, with a minimalist training set, at a very low learning rate.
Best,
Guillaume
