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@ -4,7 +4,7 @@ This guide will walk you through the process of creating a custom model built wi
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train a simple convolutional neural network model on the MNIST dataset and prepare it for inference.
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For clarity, we sometimes omit imports in our code snippets. For more details, please refer to the
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corresponding code in the `examples/guide` [directory](https://github.com/tracel-ai/burn/tree/main/examples/guide).
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corresponding code in the `examples/guide` [directory](https://github.com/tracel-ai/burn/tree/release/0.14/examples/guide).
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We reproduce this example in a step-by-step fashion, from dataset creation to modeling and training
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in the following sections. It is recommended to use the capabilities of your IDE or text editor to
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automatically add the missing imports as you add the code snippets to your code.
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@ -14,7 +14,8 @@ automatically add the missing imports as you add the code snippets to your code.
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Be sure to checkout the git branch corresponding to the version of Burn you are using to follow
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this guide.
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The current version of Burn is `0.14` and the corresponding branch to checkout is `main`.
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The current version of Burn is `0.14` and the corresponding branch to checkout is
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[release/0.14](https://github.com/tracel-ai/burn/tree/release/0.14).
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</div>
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The code for this demo can be executed from Burn's base directory using the command:
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