资源分类
》 资源 》算法》LSTM-Neural-Network-for-Time-Series-Prediction

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

2020-01-03 | |  32 |   0 |   0

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


上一篇：BERT-BiLSTM-CRF-NER

下一篇：LSTM-Sentiment-Analysis

用户评价
全部评价

热门资源

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • spark-corenlp

    This package wraps Stanford CoreNLP annotators ...

  • Keras-ResNeXt

    Keras ResNeXt Implementation of ResNeXt models...

  • capsnet-with-caps...

    CapsNet with capsule-wise convolution Project ...

  • shih-styletransfer

    shih-styletransfer Code from Style Transfer ...