Exploiting Local Structures with the Kronecker Layer in Convolutional Networks

Abstract

In this paper, we propose and study a technique to reduce the number of parameters and computation time in convolutional neural networks. We use Kronecker product to exploit the local structures within convolution and fully-connected layers, by replacing the large weight matrices by combinations of multiple Kronecker products of smaller matrices. Just as… (More)

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Citation Velocity: 6

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