Update code how-to-create-component-pipeline-python.md

Author: lgayhardt

articles/machine-learning/how-to-create-component-pipeline-python.md

@@ -74,7 +74,7 @@ Fashion-MNIST is a dataset of fashion images divided into 10 classes. Each image
 To define the input data of a job that references the Web-based data, run:
 
 
-[!notebook-python[] (~/azureml-examples-temp-fix/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/image_classification_keras_minist_convnet.ipynb?name=define-input)]
+[!notebook-python[] (~/azureml-examples-main/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/image_classification_keras_minist_convnet.ipynb?name=define-input)]
 
 
 By defining an `Input`, you create a reference to the data source location. The data remains in its existing location, so no extra storage cost is incurred.