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Merge pull request #1486 from jasonrandrews/review
fix notices in MNIST Learning Path
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content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/model-opt.md

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@@ -15,7 +15,7 @@ Start by creating a new notebook named `pytorch-digits-model-optimizations.ipynb
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Then define the model architecture using the code below.
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{% notice Note%}}
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{{% notice Note%}}
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You can also find the source code on [GitHub](https://github.com/dawidborycki/Arm.PyTorch.MNIST.Inference.Python).
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{{% /notice %}}
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content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/prepare-data.md

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@@ -74,7 +74,7 @@ A directory named `mnist_bitmaps` is created to store the images. A dictionary t
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The loop breaks once the specified number of examples per digit is saved, ensuring that exactly 20 images, two per digit, are generated and stored in the specified directory.
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{% notice Note %}}
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{{% notice Note %}}
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This data is included in the [GitHub repository](https://github.com/dawidborycki/Arm.PyTorch.MNIST.Inference.git)
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{{% /notice %}}
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