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

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@@ -72,7 +72,9 @@ Fashion-MNIST is a dataset of fashion images divided into 10 classes. Each image
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To define the input data of a job that references the Web-based data, run:
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```
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[!notebook-python[] (~/azureml-examples-main/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/image_classification_keras_minist_convnet.ipynb?name=define-input)]
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```
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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.
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