With Amazon SageMaker, you have the flexibility to bring in your own model and leverage the capabilities of the service. Script mode enables you to write custom training and inference code while still utilizing common ML framework containers maintained by AWS. Script mode is easy to use and extremely flexible.
In this session, we discuss use cases for using script mode, and how script mode can accelerate your algorithm development and testing while simultaneously decreasing the amount of time, effort, and resources required to bring your custom algorithm to the cloud. Amazon SageMaker script mode is flexible so you’ll also be seeing examples of how to include your own dependencies, in your training and inference at scale.