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机译:通过势头掺入的并行随机梯度下降学习的高效和高质量建议
School of Computer Science and Technology Dongguan University of Technology Dongguan;
School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing;
City College of Dongguan University of Technology Dongguan China;
Faculty of Engineering Center of Research Excellence in Renewable Energy and Power Systems King Abdulaziz University Jeddah Saudi Arabia;
New Jersey Institute of Technology Newark NJ USA;
Training; Stochastic processes; Task analysis; Convergence; Computational modeling; Biological system modeling; Electronic mail;
机译:通过势头掺入的并行随机梯度下降学习的高效和高质量建议
机译:通过势头掺入的并行随机梯度下降学习的高效和高质量建议
机译:通过并行随机梯度下降与动量校正和自适应学习率相结合的步行性属性
机译:共享存储系统中潜在因子模型的结合动量的快速并行随机梯度下降
机译:用于大规模机器学习的异构CPU-FPGA平台上高效且可伸缩的平行随机梯度下降
机译:跨域推荐系统的隐式随机梯度下降方法
机译:采用随机梯度下降的加固学习自适应人机评估框架,用于动态竞争网络