Improving Performance of Convolutional Neural Networks by Separable Filters on GPU

Hao-Ping Kang; Che–Rung Lee

doi:10.1007/978-3-662-48096-0_49

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Improving Performance of Convolutional Neural Networks by Separable Filters on GPU

Hao-Ping Kang Che–Rung Lee

Year: 2015 Lecture notes in computer science Pages: 638-649 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-662-48096-0_49

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Keywords:

Speedup Computer science Convolutional neural network Convolution (computer science) Computation Singular value decomposition Filter (signal processing) Parallel computing Algorithm Kernel (algebra) Separable space Artificial intelligence Computational science Artificial neural network Pattern recognition (psychology) Mathematics Computer vision

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Improving Performance of Convolutional Neural Networks by Separable Filters on GPU

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