## Training and deployment examples with ML frameworks
These sample notebooks show you how to train and deploy models with popular machine learning frameworks using Azure Machine Learning.

1. [Scikit-learn](scikit-learn): Train, hyperparameter tune and deploy scikit-learn models.
2. [PyTorch](pytorch): Train, hyperparameter tune and deploy PyTorch models. Distributed training with PyTorch.
3. [TensorFlow](tensorflow): Train, hyperparameter tune and deploy TensorFlow models. Distributed training with TensorFlow.
4. [Keras](keras): Train, hyperparameter tune and deploy Keras models.
5. [Chainer](chainer): Train, hyperparameter tune and deploy Chainer models. Distributed training with Chainer.
6. [Fastai](fastai): Train, hyperparameter tune and deploy Fastai models.

 ![Impressions](https://PixelServer20190423114238.azurewebsites.net/api/impressions/MachineLearningNotebooks/how-to-use-azureml/ml-frameworks/README.png)
