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19 lines
1.4 KiB
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19 lines
1.4 KiB
Markdown
## Azure Machine Learning service training examples
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These examples show you:
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1. [How to use the Estimator pattern in Azure ML](how-to-use-estimator)
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2. [Train using TensorFlow Estimator and tune hyperparameters using Hyperdrive](train-hyperparameter-tune-deploy-with-tensorflow)
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3. [Train using Pytorch Estimator and tune hyperparameters using Hyperdrive](train-hyperparameter-tune-deploy-with-pytorch)
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4. [Train using Keras and tune hyperparameters using Hyperdrive](train-hyperparameter-tune-deploy-with-keras)
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5. [Train using Chainer Estimator and tune hyperparameters using Hyperdrive](train-hyperparameter-tune-deploy-with-chainer)
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6. [Distributed training using TensorFlow and Parameter Server](distributed-tensorflow-with-parameter-server)
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7. [Distributed training using TensorFlow and Horovod](distributed-tensorflow-with-horovod)
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8. [Distributed training using Pytorch and Horovod](distributed-pytorch-with-horovod)
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9. [Distributed training using CNTK and custom Docker image](distributed-cntk-with-custom-docker)
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10. [Distributed training using Chainer](distributed-chainer)
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11. [Export run history records to Tensorboard](export-run-history-to-tensorboard)
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12. [Use TensorBoard to monitor training execution](tensorboard)
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Learn more about how to use `Estimator` class to [train deep neural networks with Azure Machine Learning](https://docs.microsoft.com/azure/machine-learning/service/how-to-train-ml-models).
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