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added instructions for installing kernel in Jupyter

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James Briggs
2021-05-31 18:44:33 +01:00
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installation.md
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@@ -46,4 +46,14 @@ If you have a CUDA enabled GPU, you can take advantage of GPU acceleration. If y
4. Confirm installation by writing `nvcc --version` in *Anaconda prompt*, the CUDA version should appear (such as *cuda_11.1*).
5. Once complete, install PyTorch using instructions in **Installation of PyTorch** section above.
5. Once complete, install PyTorch using instructions in **Installation of PyTorch** section above.
## Adding to Jupyter
Once your environment is setup, it can be added as a kernel to Jupyter lab/notebook by:
1. In *Anaconda prompt* write `conda active ml`.
2. Then write `python -m ipykernel install --user --name ml --display-name "ML"`
3. The kernel has been installed, switch back to *base* with `conda activate base` then open Jupyter with `jupyter lab`/`jupyter notebook`.