Rethinking The Value Of Network Pruning. Web network pruning is widely used for reducing the heavy computational cost of deep networks. Zhuang liu*, mingjie sun*, tinghui zhou, gao huang, trevor darrell (* equal contribution).
Web network pruning is a commonly used approach for obtaining an efficient neural network. Web a generic formulation of neural network pruning, followed by the major classic pruning topics, and a thorough and structured literature review of pai methods is presented, consisting of two major tracks (sparse training and sparse selection). In this work, we make several surprising observations which contradict.
Also Best Paper Award At Nips 2018 Workshop On Compact Deep Neural Networks.
Web rethinking the value of network pruning. Zhuang liu*, mingjie sun*, tinghui zhou, gao huang, trevor darrell (* equal contribution). Web network pruning is a commonly used approach for obtaining an efficient neural network.
A Typical Procedure Of Network Pruning Consists Of Three Stages:
In this work, we make several surprising observations which contradict. Web rethinking the value of network pruning. Web a generic formulation of neural network pruning, followed by the major classic pruning topics, and a thorough and structured literature review of pai methods is presented, consisting of two major tracks (sparse training and sparse selection).
Several Pruning Methods' Implementations Contained In This Repo Can Also Be Readily Used For Other Research.
Web network pruning is widely used for reducing the heavy computational cost of deep networks.