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Remove mention of example in backend section of the book (#2014)
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@ -30,7 +30,7 @@ fn main() {
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}
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```
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In this example, we use the `Wgpu` backend which is compatible with any operating system and will
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In this code snippet, we use the `Wgpu` backend which is compatible with any operating system and will
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use the GPU. For other options, see the Burn README. This backend type takes the graphics API, the
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float type and the int type as generic arguments that will be used during the training. The autodiff
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backend is simply the same backend, wrapped within the `Autodiff` struct which imparts differentiability \
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@ -47,6 +47,7 @@ You can now train your freshly created model with the command:
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cargo run --release
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```
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When running the example, you should see the training progression through a basic CLI dashboard:
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When running your project with the commande above, you should see the training progression through a
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basic CLI dashboard:
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<img title="a title" alt="Alt text" src="./training-output.png">
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