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Update linear_learner_mnist.ipynb #106

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Nov 28, 2017
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Expand Up @@ -205,7 +205,7 @@
"\n",
"Again, we'll use the Amazon SageMaker Python SDK to kick off training, and monitor status until it is completed. In this example that takes between 7 and 11 minutes. Despite the dataset being small, provisioning hardware and loading the algorithm container take time upfront.\n",
"\n",
"First, let's specify our containers. Since we want this notebook to run in all 4 of Amazon SageMaker's regions, we'll create a small lookup. More details on algorithm containers can be found in [AWS documentation](https://docs-aws.amazon.com/sagemaker/latest/dg/im-algo-docker-registry-paths.html)."
"First, let's specify our containers. Since we want this notebook to run in all 4 of Amazon SageMaker's regions, we'll create a small lookup. More details on algorithm containers can be found in [AWS documentation](https://docs-aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html)."
]
},
{
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