2015
An Exploration of Parameter Redundancy in Deep Networks With Circulant Projections
ICCV 2015poster
We explore the redundancy of parameters in deep neural networks by replacing the conventional linear projection in fully-connected layers with the circulant projection. The circulant structure substantially reduces memory footprint and enables the use of the Fast Fourier Transform to speed up the co…