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3 years ago
Copyright 2019 The TensorFlow Authors.
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Time series forecasting

This tutorial is an introduction to time series forecasting using TensorFlow. It builds a few different styles of models including Convolutional and Recurrent Neural Networks (CNNs and RNNs).

This is covered in two main parts, with subsections:

  • Forecast for a single timestep:
    • A single feature.
    • All features.
  • Forecast multiple steps:
    • Single-shot: Make the predictions all at once.
    • Autoregressive: Make one prediction at a time and feed the output back to the model.