首页|Optimization of optical convolution kernel of optoelec-tronic hybrid convolution neural network
Optimization of optical convolution kernel of optoelec-tronic hybrid convolution neural network
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To enhance the optical computation's utilization efficiency,we develop an optimization method for optical convolution kernel in the optoelectronic hybrid convolution neural network(OHCNN).To comply with the actual calculation pro-cess,the convolution kernel is expanded from single-channel to two-channel,containing positive and negative weights.The Fashion-MNIST dataset is used to test the network architecture's accuracy,and the accuracy is improved by 7.5％with the optimized optical convolution kernel.The energy efficiency ratio(EER)of two-channel network is 46.7％higher than that of the single-channel network,and it is 2.53 times of that of traditional electronic products.
School of Electro-Optical Engineering,Changchun University of Science and Technology,Jilin 130022,China
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument,Beijing Information Science and Technology University,Beijing 100192,China
Beijing Laboratory of Optical Fiber Sensing and System,Beijing Information Science and Technology University,Beijing 100016,China
Program of Introducing Talents of Discipline to Universities国家自然科学基金
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