This series of modules introduces learners to recurrent neural networks (RNNs). RNNs are used in analyzing time series data, where knowledge of the state at previous time points is helpful in predicting a future time point.Applications include forecasting stock prices to predicting patient outcomes based on treatment and vitals over time.
Access content
| Link | Method of Access |
|---|---|
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Access on GitHub.com |
| Coming soon | Create your own repository and launch GitHub Codespaces |
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Access on Google Colab |
| Coming soon | Access on UF Professional and Workforce Development |
| Coming soon | Access on Canvas Commons |
