Skip to content

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

Notifications You must be signed in to change notification settings

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

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 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 sin 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

Update: As of 08-03-2017 this code has been updated from Python 2.7 to Python 3.5.

This is to make it available to run natively on Windows TensorFlow installations (Tutorial on how to install TensorFlow natively on Windows)

  • Python 3.5
  • TensorFlow 1.0
  • Numpy 1.12.0
  • Keras 1.2.2
  • Matplotlib 2.0.0

Output for sin wave sequential prediction:

Output for sin wave sequential prediction

Output for stock market multiple 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

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%