Anthony Reiling, William Mitchell, Stefan Westberg, E. Balster, T. Taha
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引用次数: 4
Abstract
Hand tuning convolutional neural networks (CNN) for performance optimization can be tedious. A novel approach using a genetic algorithm to automate CNN hyper-parameter adjustment is proposed. This automated approach shows a 5% accuracy improvement over hand tuned methods and highly energy efficient networks on the Intel Movidius Compute Stick.
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