Model pruning is arguably one of the oldest methods of deep neural networks (DNN) model size reduction that dates to the 90s, and quite stunningly, is still a very active area of research in the AI community. Pruning in a nutshell, creates sparsely connected DNNs that intend to retain model performance as the original dense model.
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