Minimizing Computation in Convolutional Neural Networks

Abstract

Convolutional Neural Networks (CNNs) have been successfully used for many computer vision applications. It would be beneficial to these applications if the computational workload of CNNs could be reduced. In this work we analyze the linear algebraic properties of CNNs and propose an algorithmic modification to reduce their computational workload. An up to a… (More)
DOI: 10.1007/978-3-319-11179-7_36

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