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" ... This is why continuously restructuring and sparsifying deep learning models during training time, and not after training is complete, is necessary. After the training stage, the model has lost most of its plasticity and the connections cannot adapt to take over additional responsibility, so removing connections can result in decreased accuracy. ... "