AWS sagemaker documentation change
Summary
Changed 'Notebook Instances' to 'notebook instances' in link text for consistency
Security assessment
The change is a documentation formatting update (lowercase correction) without any security-related content modifications.
Diff
diff --git a/sagemaker/latest/dg/image-classification.md b/sagemaker/latest/dg/image-classification.md index 82cdea365..d84351beb 100644 --- a//sagemaker/latest/dg/image-classification.md +++ b//sagemaker/latest/dg/image-classification.md @@ -127 +127 @@ For image classification, we support P2, P3, G4dn, and G5 instances. We recommen -For a sample notebook that uses the SageMaker AI image classification algorithm, see [Build and Register an MXNet Image Classification Model via SageMaker Pipelines](https://github.com/aws-samples/amazon-sagemaker-pipelines-mxnet-image-classification/blob/main/image-classification-sagemaker-pipelines.ipynb). For instructions how to create and access Jupyter notebook instances that you can use to run the example in SageMaker AI, see [Amazon SageMaker Notebook Instances](./nbi.html). Once you have created a notebook instance and opened it, select the **SageMaker AI Examples** tab to see a list of all the SageMaker AI samples. The example image classification notebooks are located in the **Introduction to Amazon algorithms** section. To open a notebook, click on its **Use** tab and select **Create copy**. +For a sample notebook that uses the SageMaker AI image classification algorithm, see [Build and Register an MXNet Image Classification Model via SageMaker Pipelines](https://github.com/aws-samples/amazon-sagemaker-pipelines-mxnet-image-classification/blob/main/image-classification-sagemaker-pipelines.ipynb). For instructions how to create and access Jupyter notebook instances that you can use to run the example in SageMaker AI, see [Amazon SageMaker notebook instances](./nbi.html). Once you have created a notebook instance and opened it, select the **SageMaker AI Examples** tab to see a list of all the SageMaker AI samples. The example image classification notebooks are located in the **Introduction to Amazon algorithms** section. To open a notebook, click on its **Use** tab and select **Create copy**.