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2 changes: 1 addition & 1 deletion docs/Resources/prnn_tutorial.md
Original file line number Diff line number Diff line change
Expand Up @@ -36,5 +36,5 @@ There are some extra steps in managing the requirements needed for the [Predicti
3. If you run `jupyter kernelspec list`, you should see `prnn_tutorial` as an option.
4. You may need to restart your VSCode or kernel here.
1. If you're on VSCode, you can do this fast with `Cmd + Shift + P` to open the Command Palette and then `Developer: Reload Window`.
11. Your environment should be all set to run example code provided with the package, or to start going through the tutorials. The quickstart tutorial can be found [here](https://github.com/LevensteinLab/pRNN/blob/main/docs/quickstart.rst). This contains an example training run.
11. Your environment should be all set to run example code provided with the package, or to start going through the tutorials. The quickstart tutorial can be found [here](https://prnn.readthedocs.io/en/latest/quickstart.html). This contains an example training run.
1. If you would like to run through quickstart interactively, you will need to copy `pRNN/examples/tutorial.ipynb` to your `prnn_tutorial` folder. This can be done with `rsync -r ../pRNN/examples/ .`