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In this course, you will :
- Solve time series and forecasting problems in TensorFlow.
- Prepare data for time series learning using best practices.
- Explore how RNNs and ConvNets can be used for predictions.
- Build a sunspot prediction model using real-world data.
Syllabus:
- Sequences and Prediction
- Deep Neural Networks for Time Series
- Recurrent Neural Networks for Time Series
- Real-world time series data
