Nathalie Rauschmayr

Amazon SageMaker Debugger provides complete insights into ML model training in real time by detecting bottlenecks so you can correct problems before the model is deployed to production. Amazon SageMaker Debugger captures model metrics, speeding up training time and enabling higher quality models.

Implementing computer vision (CV) models just got simpler and faster. In this chalk talk, learn how to implement CV models using Apache MXNet and the Gluon CV Toolkit, which provide implementations of state-of-the-art deep learning algorithms in computer vision to help engineers, researchers, and students quickly prototype products, validate new ideas, and learn computer vision.

Time-series prediction—whether it is regression, classification, or anomaly detection—has experienced a renaissance in the past three years thanks to the application of neural models. In turn, AWS has released an open-source Gluon-based toolkit, GluonTS, for time-series prediction.