Gate Recurrent Unit (GRU)
  • Category: Deep Learning
  • Development language: python
  • Operating platform / Operating system: Windows 7以上
  • Compilation tools and environment: PyCharm、Anaconda
  • Method description:
  • GRU is a gating mechanism in recurrent neural network (RNN), which is similar to other gating mechanisms, it aims to solve the gradient vanishing / exploding problem in standard RNN and retain the long-term information of the sequence. GRU is as good as LSTM in many sequence tasks such as speech recognition, but it has fewer parameters than LSTM. It only contains a reset gate and an update gate.


    Installation: python

    Operation mode:

    Input variable: time series data

    Output variable: predicted data / accuracy

    QR code:

    • 安装方式:

      安装python

      运行方式:

      在PyCharm中打开脚本文件即可运行

      输入变量:

      时间序列数据

      输出变量:

      预测数据/预测精度

      二维码: