Time series forecasting
A thorough introduction to time series forecasting using TensorFlow.
time-series forecasting tensorflow keras code article notebook tutorial

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.

Don't forget to tag @tensorflow , @lamberta , @samholt in your comment, otherwise they may not be notified.

Authors community post
Software & Machine Learning Masters of Engineering. Oxford University 2013 - 2017. Contact: samuel.holt.direct@gmail.com
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