Get started with Studio

• An Introduction to Linear Learner with MNIST

Framework examples

• Train and Host a Keras Model with Pipe Mode and Horovod on Amazon SageMaker
• Sentiment Analysis with Apache MXNet and Gluon
• Using the Apache MXNet Module API with SageMaker Training and Batch Transformation
• Hosting ONNX models with Amazon Elastic Inference
• Training and Hosting a PyTorch model in Amazon SageMaker

Model compilation with Neo

• Compile and Deploy a TensorFlow model on Inf1 instances

Bring your own container to Studio

• SageMaker Batch Transform using an XgBoost Bring Your Own Container (BYOC)
• Part 2: Building the Container and Training the model
• Part 3: Using the trained model for inference