2015
Efficient and Accurate Approximations of Nonlinear Convolutional Networks
CVPR 2015poster
This paper aims to accelerate the test-time computation of deep convolutional neural networks (CNNs). Unlike existing methods that are designed for approximating linear filters or linear responses, our method takes the nonlinear units into account. We minimize the reconstruction error of the nonline…