模型加速--LCNN: Lookup-based Convolutional Neural Network

LCNN: Lookup-based Convolutional Neural Network
CVPR2017
https://github.com/ildoonet/tf-lcnn
https://github.com/hessamb/lcnn

本文使用查表法加速CNN网络训练和计算，可以在嵌入式设备终端进行CNN网络训练

本文对每个网络层构建一个 字典 Dictionary，每个 weight filter 可以由这个字典中的某些向量线性组合得到

Fast Convolution using a Shared Dictionary

instead of reconstructing the weight tensor W and convolving with the input, we can convolve the input with all of the dictionary vectors, and then compute the output according to I and C
我们将输入向量和整个字典里的向量进行卷积，使用这个卷积结果经过 查表得到 输入和滤波器W 的卷积结果

Experiments

LCNN can obtain higher accuracy on few iterations by transferring the dictionaries D from a shallower architecture

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