CLOUD LABS
Performing Automatic Hyperparameter Tuning in SageMaker
In this Cloud Lab, you’ll learn about automatic hyperparameter tuning in SageMaker to optimize model performance, efficiently find the best parameters, and achieve better accuracy with faster convergence.
8 Tasks
intermediate
2hr
Certificate of Completion
Desktop OnlyDevice is not compatible.
No Setup Required
Amazon Web Services
Learning Objectives
Working knowledge of Amazon SageMaker to tune hyperparameters
An understanding of hyperparameters and their importance in ML models
Hands-on experience configuring hyperparameter tuning job
Working knowledge of training jobs and how to monitor them
Technologies
S3
SageMaker
Desktop Only
No Setup Required
Amazon Web Services
Labs Rules Apply
Stay within resource usage requirements.
Do not engage in cryptocurrency mining.
Do not engage in or encourage activity that is illegal.