Get Started with SageMaker Studio
Note
The following examples have been optimized for SageMaker Studio.
Basic training example for SageMaker Studio
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
- Deploy pre-trained GluonCV SSD Mobilenet model with SageMaker Neo
- Model Optimization with an Image Classification Example
- Deploying pre-trained PyTorch vision models with Amazon SageMaker Neo
- Deploying pre-trained PyTorch VGG19 model with Amazon SageMaker Neo
- Using SageMaker Neo to Compile a Tensorflow U-Net Model
- Customer Churn Prediction with XGBoost