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OPTICAL CONVOLUTIONAL NEURAL NETWORK SYSTEM BASED ON HOLOGRAPHIC TECHNOLOGY

机译:基于全息技术的光学卷积神经网络系统

摘要

The present invention relates to an optical convolutional neural network system. According to an embodiment of the present invention, the optical convolutional neural network system includes an input optical unit, a convolutional neural optical unit, a hologram neural optical unit, and an output optical unit. The input optical unit receives input data and converts the input data into first optical information. The convolutional neural optical unit receives the first optical information, extracts a feature map, and learns a change of a convolution kernel value. The output optical unit generates output data by receiving second optical information of the hologram neuron optical unit.;COPYRIGHT KIPO 2018
机译:光卷积神经网络系统技术领域本发明涉及光卷积神经网络系统。根据本发明的实施例,光学卷积神经网络系统包括输入光学单元,卷积神经光学单元,全息神经光学单元和输出光学单元。输入光学单元接收输入数据并将输入数据转换成第一光学信息。卷积神经光学单元接收第一光学信息,提取特征图,并学习卷积核值的变化。输出光学单元通过接收全息神经元光学单元的第二光学信息生成输出数据。; COPYRIGHT KIPO 2018

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