Department of Electronic Engineering, Tsinghua University, 100084 Beijing, China;
Department of Electronic Engineering, Tsinghua University, 100084 Beijing, China;
Department of Electronic Engineering, Tsinghua University, 100084 Beijing, China;
Department of Electronic Engineering, Tsinghua University, 100084 Beijing, China;
Decision support systems; Convolution; Training; Filtering; Manganese; Neural networks; Feature extraction;
机译:深度卷积神经网络的分层明智训练和自适应梯度法的手写体梵文字符识别
机译:卷积神经网络的图像识别评价方法及应用
机译:一种基于卷积神经网络和双向门控复发网络模型的氨基酸太赫兹谱识别方法
机译:面部识别:一种小说未经监督的卷积神经网络方法
机译:基于卷积神经网络的人类视觉系统启发特征识别方法
机译:基于人眼机理的卷积神经网络原位浮游生物图像识别与分类训练方法
机译:使用深度卷积神经网络和自适应梯度方法的层面训练手写的Devanagari字符识别