Learning both Weights and Connections for Efficient Neural Networks

NeurIPS 2015 Song HanJeff PoolJohn TranWilliam J. Dally

Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems. Also, conventional networks fix the architecture before training starts; as a result, training cannot improve the architecture... (read more)

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