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