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information about connecting the kernel (#465)
Co-authored-by: Nicki Skafte Detlefsen <skaftenicki@gmail.com>
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s1_development_environment/exercise_files/1_Tensors_in_PyTorch.ipynb

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"With the basics covered, it's time to explore how we can use PyTorch to build a simple neural network."
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"If you are using a wsl and the kernel does not corretly connect, then Jupiter may not be corretly installed on the wsl.\n",
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"Run\n",
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"\"python3 -m jupyter --version\"\n",
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"\n",
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"To check if there is a working version of jupyter.\n",
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"If not manually add jupyter using \"uv add jyputer\", vs code adding it may not be suffescient."
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]
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},
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"cell_type": "code",
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"execution_count": null,
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"cell_type": "code",
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"execution_count": null,
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"cell_type": "code",
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"execution_count": null,
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