These examples show you:

1. How to use the Estimator pattern in Azure ML
2. Train using TensorFlow Estimator and tune hyperparameters using Hyperdrive
3. Train using Pytorch Estimator and tune hyperparameters using Hyperdrive
4. Train using Keras and tune hyperparameters using Hyperdrive
5. Train using Chainer Estimator and tune hyperparameters using Hyperdrive
6. Distributed training using TensorFlow and Parameter Server
7. Distributed training using TensorFlow and Horovod
8. Distributed training using Pytorch and Horovod
9. Distributed training using CNTK and custom Docker image
10. Distributed training using Chainer
11. Export run history records to Tensorboard
12. Use TensorBoard to monitor training execution

Learn more about how to use Estimator class to train deep neural networks with Azure Machine Learning.