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remove mention of default cluster
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articles/machine-learning/service/how-to-train-chainer.md

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@@ -102,7 +102,7 @@ experiment = Experiment(ws, name=experiment_name)
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You will need a [compute target](concept-compute-target.md) for training your model. In this tutorial, you will use Azure ML managed compute (AmlCompute) for your remote training compute resource.
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**Creation of AmlCompute takes approximately 5 minutes**. If the AmlCompute with that name is already in your workspace, this code will skip the creation process. If you created your workspaces after SOMEDATE, a default gpu cluster with the name **gpu-cluster** has been created for you.
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**Creation of AmlCompute takes approximately 5 minutes**. If the AmlCompute with that name is already in your workspace, this code will skip the creation process.
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```Python
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from azureml.core.compute import ComputeTarget, AmlCompute

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