Skip to content

Commit 1e7f311

Browse files
authored
Update index.md
1 parent bbb3f85 commit 1e7f311

File tree

1 file changed

+1
-1
lines changed

1 file changed

+1
-1
lines changed

index.md

+1-1
Original file line numberDiff line numberDiff line change
@@ -17,7 +17,7 @@ Machine Learning notebook samples and encourage efficient retrieval of topics an
1717

1818
|Title| Task | Dataset | Training Compute | Deployment Target | ML Framework | Tags |
1919
|:----|:-----|:-------:|:----------------:|:-----------------:|:------------:|:------------:|
20-
| [](https://github.com/Azure/MachineLearningNotebooks/blob/master//how-to-use-azureml/training/train-within-notebook/train-within-notebook.ipynb) | Training and deploying a model from a notebook | Diabetes | Local | Azure Container Instance | None | None |
20+
| [Using a notebook for training and deploying](https://github.com/Azure/MachineLearningNotebooks/blob/master//how-to-use-azureml/training/train-within-notebook/train-within-notebook.ipynb) | Training and deploying a model from a notebook | Diabetes | Local | Azure Container Instance | None | None |
2121
| [Use MLflow with Azure Machine Learning for training and deployment](https://github.com/Azure/MachineLearningNotebooks/blob/master//how-to-use-azureml/track-and-monitor-experiments/using-mlflow/train-deploy-pytorch/train-and-deploy-pytorch.ipynb) | Use MLflow with Azure Machine Learning to train and deploy Pa yTorch image classifier model | MNIST | AML Compute | Azure Container Instance | PyTorch | None |
2222
| :star:[Azure Machine Learning Pipeline with DataTranferStep](https://github.com/Azure/MachineLearningNotebooks/blob/master//how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-data-transfer.ipynb) | Demonstrates the use of DataTranferStep | Custom | ADF | None | Azure ML | None |
2323
| [Getting Started with Azure Machine Learning Pipelines](https://github.com/Azure/MachineLearningNotebooks/blob/master//how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-getting-started.ipynb) | Getting Started notebook for ANML Pipelines | Custom | AML Compute | None | Azure ML | None |

0 commit comments

Comments
 (0)