Quantized CNN for Mobile Devices

Approach

Firstly, we introduce an efficient test-phase computation process with the network parameters quantized. Secondly, we demonstrate that better quantization can be learned by directly minimizing the estimation error of each layer’s response.

  • Quantizing the Fully connected Layer


  • Quantization with Error Correction

Experiment

References:
Quantized Convolutional Neural Networks for Mobile Devices, chengjian, 2016, CVPR

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