# LSTM-Neural-Network-for-Time-Series-Prediction

**Repository Path**: weizai666/LSTM-Neural-Network-for-Time-Series-Prediction

## Basic Information

- **Project Name**: LSTM-Neural-Network-for-Time-Series-Prediction
- **Description**: LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
- **Primary Language**: Unknown
- **License**: AGPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-07
- **Last Updated**: 2021-01-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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](https://www.altumintelligence.com/articles/a/Time-Series-Prediction-Using-LSTM-Deep-Neural-Networks)

[Video on the workings and usage of LSTMs and run-through of this code](https://www.youtube.com/watch?v=2np77NOdnwk)

## 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](https://www.altumintelligence.com/assets/time-series-prediction-using-lstm-deep-neural-networks/sinwave_full_seq.png)

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

![Output for stock market multiple sequential predictions](https://www.altumintelligence.com/assets/time-series-prediction-using-lstm-deep-neural-networks/sp500_multi_2d.png)