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docs/python/how-to-guides/use-pytorch.md

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@@ -97,7 +97,7 @@ class IrisANN(nn.Module):
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model = IrisANN()
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```
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Now comes the fun bit: training our network. We'll calculate loss using [cross entropy](https://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html), and we'll optimize the network with the [Adam algorithm](https://pytorch.org/docs/stable/generated/torch.optim.Adam.html#torch.optim.Adam).
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Now comes the fun bit: training our network. We'll calculate loss using [cross entropy](https://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html), and we'll optimize the network with the [Adam algorithm](https://pytorch.org/docs/stable/generated/torch.optim.Adam.html#adam).
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```python test-set=1 order=null skip-test
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# Set our loss computation and optimization algorithms

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