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Akshaya Annavajhala
2020-08-10 14:27:29 -07:00
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how-to-use-azureml/track-and-monitor-experiments/README.md
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Try out the sample notebooks:
1. [Use MLflow with Azure Machine Learning for Local Training Run](./train-local/train-local.ipynb)
1. [Use MLflow with Azure Machine Learning for Remote Training Run](./train-remote/train-remote.ipynb)
1. [Deploy Model as Azure Machine Learning Web Service using MLflow](./deploy-model/deploy-model.ipynb)
1. [Train and Deploy PyTorch Image Classifier](./train-deploy-pytorch/train-deploy-pytorch.ipynb)
![Impressions](https://PixelServer20190423114238.azurewebsites.net/api/impressions/MachineLearningNotebooks/how-to-use-azureml/track-and-monitor-experiments/README.png)