Gate Recurrent Unit (GRU)

• Category: Deep Learning
• Development language: python
• Operating platform / Operating system: Windows 7以上
• Compilation tools and environment: PyCharm、Anaconda
• GitHub download path: https://gitee.com/three-poles/DeepLearning

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：