Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel Removal

30 May 2017 Chih-Ting Liu Yi-Heng Wu Yu-Sheng Lin Shao-Yi Chien

Deep Convolutional Neural Networks (CNNs) are widely employed in modern computer vision algorithms, where the input image is convolved iteratively by many kernels to extract the knowledge behind it. However, with the depth of convolutional layers getting deeper and deeper in recent years, the enormous computational complexity makes it difficult to be deployed on embedded systems with limited hardware resources... (read more)

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