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机译:对物体识别的初始循环卷积神经网络
Department of Electrical and Computer Engineering University of Dayton Dayton OH USA;
Comcast Labs Washington DC USA;
Department of Electrical and Computer Engineering University of Dayton Dayton OH USA;
Department of Electrical and Computer Engineering University of Dayton Dayton OH USA;
Department of Electrical and Computer Engineering University of Dayton Dayton OH USA;
IRCNN; RCNN; DCNN; Deep Learning; Object recognition;
机译:改进了对象识别的初始卷积神经网络
机译:循环卷积神经网络:一种更好的生物目标识别模型
机译:Inception模块的研究纳入了暹罗卷积神经网络,实现了人脸识别
机译:基于Inception卷积神经网络使用不同数量的Inception-Block基于Inception卷积神经网络使用线性和非线性分类器的比较研究
机译:使用卷积和经常性神经网络跟踪对象跟踪
机译:勘误:循环卷积神经网络:更好的生物目标识别模型
机译:改进了对象的初始 - 残差卷积神经网络 承认