fix notices in MNIST Learning Path

Author: Jason Andrews

content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/model-opt.md

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

content/learning-paths/cross-platform/pytorch-digit-classification-arch-training/prepare-data.md

@@ -74,7 +74,7 @@ A directory named `mnist_bitmaps` is created to store the images. A dictionary t
 
 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.
 
-{% notice Note %}}
+{{% notice Note %}}
 This data is included in the [GitHub repository](https://github.com/dawidborycki/Arm.PyTorch.MNIST.Inference.git)
 {{% /notice %}}