made-jaya/gladiator-existing-forecasting-methods-of-time_series

Gladiator Axisting Forecasting Methods of Time_Series

Gladiator Axisting Forecasting Methods of Time_Series Forecasting using TensorFlow

Gladiator Axisting Forecasting Methods of Time_Series Forecasting using TensorFlow. It builds a few different styles of models including Convolutional and Recurrent Neural Networks (CNNs and RNNs).

Features

• Single step models
  • Linear model
  • Dense
  • Multi-step dense
  • Convolution neural network
  • Recurrent neural network
  • Performance
  • Multi-output models
    • Baseline
    • Dense
    • RNN
    • Advanced: Residual connections
    • Performance
• Multi-step models
  • Baselines
  • Single-shot models
    • Linear
    • Dense
    • CNN
    • RNN
  • Advanced: Autoregressive model
    • RNN

Installation

Requires Python 3.

run Gladiator-Existing-Forecasting-Methods-of-Time_Series.ipynb

Free Software, Hell Yeah!