Parameterized Structured Pruning for Deep Neural Networks

12 Jun 2019Guenther SchindlerWolfgang RothFranz PernkopfHolger Froening

As a result of the growing size of Deep Neural Networks (DNNs), the gap to hardware capabilities in terms of memory and compute increases. To effectively compress DNNs, quantization and connection pruning are usually considered... (read more)

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