Deep neural networks achieve outstanding performance in a variety of fields, such as computer vision, speech recognition, and natural language processing. The computational power needed to process these neural networks is rapidly increasing, so efficient models and computation are crucial. Neural network pruning, removing unnecessary model parameters to yield a sparse network, is a useful way to��
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