Skip to content

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

License

Notifications You must be signed in to change notification settings

jianzuo/LSTM-Neural-Network-for-Time-Series-Prediction

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

LSTM Neural Network for Time Series Prediction

LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wave and stock market data.

Full article write-up for this code

Video on the workings and usage of LSTMs and run-through of this code

Requirements

Install requirements.txt file to make sure correct versions of libraries are being used.

  • Python 3.5.x
  • TensorFlow 1.10.0
  • Numpy 1.15.0
  • Keras 2.2.2
  • Matplotlib 2.2.2

Output for sine wave sequential prediction:

Output for sin wave sequential prediction

Output for stock market multi-dimensional multi-sequential predictions:

Output for stock market multiple sequential predictions

About

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%