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model training

The framework developed by the researchers accelerates training of a new, larger neural network model by using the weights in the neurons of an older, smaller model as building blocks. Their machine-learning approach learns to expand the width and depth of the larger model in a data-driven way. Credits: Image: Courtesy of the researchers, edited by MIT News

Learning to grow machine-learning models

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