fixed link redircting to older version of website and added new link … #768
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…for extra explanation
Atcold
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May 6, 2021
| @@ -244,7 +244,7 @@ $$ \frac{\partial \, J(\mathbf{\Theta})}{\partial \, \boldsymbol{W_y}} = \frac{\ | |||
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| The Jupyter notebook can be found [here](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse/blob/master/04-spiral_classification.ipynb). In order to run the notebook, make sure you have `the dl-minicourse` environment installed as specified in [README.md](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse/blob/master/README.md). | |||
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| An explanation of how to use `torch.device()` can be found in [last week's notes](https://atcold.github.io/pytorch-Deep-Learning-Minicourse/en/week01/01-3/). | |||
| An explanation of how to use `torch.device()` can be found in [last week's notes](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse/blob/master/01-tensor_tutorial.ipynb) and an example is shown in [this lecture](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse/blob/master/04-spiral_classification.ipynb). | |||
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| An explanation of how to use `torch.device()` can be found in [last week's notes](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse/blob/master/01-tensor_tutorial.ipynb) and an example is shown in [this lecture](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse/blob/master/04-spiral_classification.ipynb). | |
| An explanation of how to use `torch.device()` can be found in [last week's notes](https://atcold.github.io/pytorch-Deep-Learning/en/week01/01-3/). |
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The old link didn't work, so I added a link to the new version and also linked another tutorial that has an example of using device() with models.