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Updated 3 years ago
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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.