Choose GPU compute in Azure Machine Learning when training compute-intensive models. To reduce the time needed to process the data, store your data efficiently and use a data manipulation library compatible with GPU compute.
In this module, you'll learn how to:
- Know when to choose CPU or GPU compute in Azure Machine Learning.
- Efficiently store data in an Azure Data Lake Storage Gen2.
- Optimize data loading and preprocessing.
Before starting this module, you should be familiar with the Azure Machine Learning service and training machine learning and deep learning models.