Use AutoML to train a labeled dataset and develop a production model
Learn how to use AutoML to train a labeled dataset and develop a production object detection model.
Learning objectives
In this module, you'll learn how to:
- Author AutoML models for vision tasks via the Azure ML Python SDK
- Seamlessly integrate with the Azure Machine Learning data labeling capability
- Optimize model performance by specifying the model algorithm and tuning the hyperparameters
- Operationalize at scale, leveraging Azure Machine Learning MLOps capabilities
- Download the resulting model for use in a production deployment