Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations

@article{Lai2017DeepCN,
  title={Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations},
  author={Liangzhen Lai and Naveen Suda and Vikas Chandra},
  journal={ArXiv},
  year={2017},
  volume={abs/1703.03073}
}
Deep convolutional neural network (CNN) inference requires significant amount of memory and computation, which limits its deployment on embedded devices. [...] Key ResultExperimental results show that the proposed scheme reduces the weight storage by up to 36% and power consumption of the hardware multiplier by up to 50%. Expand Abstract

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