Skip to content

fix notices in MNIST Learning Path #1486

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Dec 31, 2024
Merged

fix notices in MNIST Learning Path #1486

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion ...ng-paths/cross-platform/pytorch-digit-classification-arch-training/model-opt.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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 %}}

Expand Down
2 changes: 1 addition & 1 deletion ...paths/cross-platform/pytorch-digit-classification-arch-training/prepare-data.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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 %}}

Expand Down