Merge pull request #217108 from santiagxf/santiagxf/azureml-batch-follow

Santiagxf/azureml batch follow

Author: prmerger-automator[bot]

articles/machine-learning/batch-inference/how-to-deploy-model-custom-output.md

@@ -43,6 +43,10 @@ The model has been trained using an `XGBBoost` classifier and all the required p
 
 [!INCLUDE [clone repo & set defaults](../../../includes/machine-learning-cli-prepare.md)]
 
+### Follow along in Jupyter Notebooks
+
+You can follow along this sample in a Jupyter Notebook. In the cloned repository, open the notebook: [custom-output-batch.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/endpoints/batch/custom-output-batch.ipynb).
+
 ## Creating a batch deployment with a custom output
 
 In this example, we are going to create a deployment that can write directly to the output folder of the batch deployment job. The deployment will use this feature to write custom parquet files.

articles/machine-learning/batch-inference/how-to-image-processing-batch.md

@@ -35,6 +35,10 @@ The model we are going to work with was built using TensorFlow along with the Re
 
 A sample of this model can be downloaded from `https://azuremlexampledata.blob.core.windows.net/data/imagenet/model.zip`.
 
+### Follow along in Jupyter Notebooks
+
+You can follow along this sample in a Jupyter Notebook. In the cloned repository, open the notebook: [imagenet-classifier-batch.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/endpoints/batch/imagenet-classifier-batch.ipynb).
+
 ## Image classification with batch deployments
 
 In this example, we are going to learn how to deploy a deep learning model that can classify a given image according to the [taxonomy of ImageNet](https://image-net.org/). 

articles/machine-learning/batch-inference/how-to-nlp-processing-batch.md

@@ -46,6 +46,10 @@ summarizer.save_pretrained(model_local_path)
 
 A local copy of the model will be placed at `bart-text-summarization/model`. We will use it during the course of this tutorial.
 
+### Follow along in Jupyter Notebooks
+
+You can follow along this sample in a Jupyter Notebook. In the cloned repository, open the notebook: [text-summarization-batch.ipynb](https://github.com/Azure/azureml-examples/blob/main/sdk/python/endpoints/batch/text-summarization-batch.ipynb).
+
 ## NLP tasks with batch deployments
 
 In this example, we are going to learn how to deploy a deep learning model based on the BART architecture that can perform text summarization over text in English. The text will be placed in CSV files for convenience.